Abstract

The metabolic function of inner retinal cells relies on the availability of nutrients and oxygen that are supplied by the retinal circulation. Assessment of retinal tissue vitality and function requires knowledge of both the rate of oxygen delivery and consumption. The purpose of the current study is to report a novel technique for assessment of the inner retinal metabolic rate of oxygen (MO2) by combined measurements of retinal blood flow and vascular oxygen tension (PO2) in rat. The application of this technology has the potential to broaden knowledge of retinal oxygen dynamics and advance understanding of disease pathophysiology.

©2011 Optical Society of America

1. Introduction

The function of retinal tissue can be adversely affected by inadequate delivery and/or consumption of oxygen. Derangements in retinal oxygenation are thought to contribute significantly to the development of vision threatening eye diseases, including retinal vascular occlusion, diabetic retinopathy, retinopathy of prematurity, and glaucoma [14]. However, thus far, fundamental mechanisms that implicate oxygen in the development of retinal pathologies and impairment of retinal function are not completely understood. This is in part because measurement of oxygen consumption of the inner retina in vivo has been challenging.

The oxygen-sensitive microelectrode technique has provided direct measurements of inner retinal oxygen tension (PO2) and oxygen consumption in the rat [5], though the assumption of one dimensional oxygen diffusion gradients from the retinal capillaries for estimation of oxygen consumption may not be valid. To circumvent the complicated three-dimensional oxygen diffusion gradients, inner retinal oxygen consumption has been estimated by occlusion of the retinal vascular supply and inspiration of 100% oxygen [68]. However, these measurements may not accurately reflect oxygen consumption under a normal physiological condition. Other methods have assessed inner retinal oxygen consumption in an indirect manner. Magnetic resonance imaging has provided measurements of retinal oxygenation in response to hyperoxic inhalation challenge, though with limited depth resolution for isolating the inner retinal response [9,10]. Cell labeling and microsphere imaging methods in animals [1114] and Doppler velocimetry techniques in humans [1518] have measured retinal blood flow, providing only limited information about the retinal oxygen metabolic function. Combined blood flow and oxygen saturation (SO2) measurements for estimating metabolic rate of oxygen (MO2) have been reported in human retina [19], and more recently in human brain and mouse ear [20,21]. We report an optical imaging technique for assessing inner retinal MO2 of rat by combined measurements of retinal blood flow and vascular PO2.

2. Methods

2.1. Metabolic Rate of Oxygen

Inner retinal MO2 can be calculated from retinal blood flow and vascular oxygen content measurements, according to Fick’s principle [22]:

MO2=i=1nFvi(O2aO2vi)

where Fvi is the blood flow in the i th of n veins, O2a is the oxygen (O2) content of arterial blood, and O2vi is the O2 content of blood in the i th vein. It was assumed O2a is the same in all retinal arteries, and the total arterial and venous blood flows are identical. Blood flow was measured in veins because they are less affected by pulsation and have larger diameters as compared to arteries. Inner retinal MO2 was measured both globally and locally for assessing the function of the entire retinal tissue (perfused by all retinal capillaries) and a region of retinal tissue near the optic disc (perfused by capillaries draining into several adjacent smaller veins (venules)), respectively. Global inner retinal MO2 was derived by measuring PO2 in all major retinal arteries and veins around the optic disc and F in all major retinal veins. Local inner retinal MO2 was determined based on measurements of PO2 in the major feeding artery, coupled with PO2 and F measured in smaller draining venules.

2.2. Imaging

Vascular PO2 was measured using our optical section phosphorescence lifetime imaging system [23,24], which combines principles of optical sectioning and phosphorescence lifetime imaging. Due to an angle between the incident laser light and imaging path, phosphorescence from structures in different retinal depths were imaged. Phosphorescence imaging was performed in 10 anesthetized Long Evans rats following intravenous injection of an oxygen-sensitive molecular probe (albumin bound Pd-porphine). Since phosphorescence emission was quenched by oxygen, its lifetime was a measure of PO2. Phosphorescence lifetime was determined using a frequency-domain approach that involved incrementally varying the phase delay between modulated laser light and camera sensitivity. Lifetime was converted to PO2 according to the Stern-Volmer expression: PO2 = 1/(κQ τ) - 1/(κQ τ0), where τ is the phosphorescence lifetime, κQ is the quenching constant for the triplet-state phosphorescence probe, and τ0 is the lifetime in a zero oxygen environment.

For global inner retinal MO2 calculation, PO2 was measured in major retinal arteries and veins around the optic nerve head from cross-sectional phosphorescence images, according to our previously published methodology [24]. Three repeated PO2 measurements were averaged in each major retinal artery and vein. For local inner retinal MO2 calculation, an enface PO2 map of a retinal area either temporal or nasal to the optic nerve head was generated by a laser scan, as described in our previous publication [23]. Global and local MO2 measurements were obtained in 2 separate groups of 5 rats. The O2 content of blood was determined as the sum of oxygen bound to hemoglobin and dissolved in blood [25]. The amount of oxygen bound to hemoglobin was calculated as the product of SO2, the hemoglobin concentration of 14 g/dl (based on a measured mean of 14.4 ± 0.6 g/dl in 7 rats), and the oxygen carrying capacity of 1.39 mlO2/g [26]. SO2 was calculated from the measured PO2 and blood pH values using the hemoglobin dissociation curve [27]. The amount of dissolved oxygen in blood was calculated as the product of oxygen solubility in blood (0.003 mlO2/dl*mmHg) and PO2 measurements..

Blood velocity was measured by imaging intravascular motion of fluorescent microspheres [28], within 20 minutes of phosphorescence imaging. The method involved intravenous injection of 2 micron fluorescent spheres, while the retina was imaged using a prototype slitlamp biomicroscope. The slitlamp was equipped with a 488 nm diode laser for illumination and a 560 ± 60 nm emission filter placed in front of a charge-coupled device camera, which had high sensitivity and image acquisition rate. The movement of microspheres in the retinal vasculature was captured by a sequence of images acquired at a frame rate of 60 or 108 Hz. A higher acquisition rate was preferred for measuring higher blood velocity in the major retinal veins. Images were analyzed to measure the displacement of microspheres over time and derive blood velocity measurements. Blood velocity was determined based on measured velocities of 4 to 47 microspheres in major retinal veins and 1 to 10 microspheres in retinal venules. The number of microspheres visualized depended on the duration of image acquisition, and the concentration and volume of the injected microspheres, which were progressively optimized as the technique was developed. Blood vessel diameter was measured from red free retinal images for veins and from fluorescein angiograms for venules, which provided better contrast for visualization of the smaller blood vessels. Diameters were measured based on the full width at half maximum of an intensity profile of a line perpendicular to the centerline of the blood vessel, similar to our previous publication [29]. Blood vessel diameter was derived by averaging 3 to 38 measurements in major retinal veins and 2 to 19 measurements in retinal venules. The number of measurements was dependent on the length of the centerline that could be identified from the image of the blood vessel. F was calculated by the following equation: F = blood velocity*π*diameter2/4.

3. Results

3.1. Global Inner Retina MO2

Figure 1a shows an example of a retinal image acquired in one rat, with major retinal arteries and veins labeled. An example of a retinal vein with edges outlined based on multiple diameter measurements is shown. The locations of a single microsphere traversing a major retinal vein as visualized over 8 consecutive images is depicted in Fig. 1b. A cross-sectional vascular PO2 map overlaid on the retinal image is shown in Fig. 1c. Major retinal arteries and veins were differentiated based on the direction of F and level of PO2.

 

Fig. 1 (a) Retinal image with major arteries and veins labeled (a and v); the outlined edges of a vein (v3) were identified by multiple diameter measurements; (b) Red crosses overlaid on the retinal image indicate the positions of a microsphere traversing a vein (v3), visualized over 8 consecutive images; (c) A cross-sectional vascular PO2 map (rectangle) overlaid on the retinal image, depicting values in veins (v1, v2, v3) and arteries (a2, a3). Color bar displays PO2 in mmHg.

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Measured blood vessel diameter, velocity, PO2, and calculated F and O2 content of blood in the major retinal veins of a rat (shown in Fig. 1) are listed in Table 1 . Since retinal arterial PO2 is assumed to be constant, an average PO2 over all major retinal arteries was calculated. Following Eq. (1), global inner retina MO2 was calculated to be 639 nlO2/min. Global inner retinal MO2 in rats was on average 499 ± 117 nlO2/min (N = 5).

Tables Icon

Table 1. Vessel diameter, blood velocity, and blood flow in major retinal veins; PO2 and O2 content in major retinal veins and averaged over major retinal arteries (mean ± SD) in one rat

For global MO2 measurements, the standard deviations (SD) of repeated vessel diameter, blood velocity, and PO2 measurements in the major retinal blood vessels were on average 3 microns, 6 mm/s, and 2 mmHg (N = 5), respectively. Using principles of propagation of error [30], the SD of MO2 was estimated to be approximately 46 nlO2/min, indicating changes of 90 nlO2/min can be detected with 95% confidence.

3.2. Local Inner Retina MO2

Figure 2a shows an example of a fluorescein angiogram acquired in one rat, with selected retinal blood vessels numbered and labeled. The positions of a microsphere traversing a venule and a major retinal vein, overlaid on a retinal image, are shown in Fig. 2b. In Fig. 2c, an enface PO2 map of a segmented major retinal artery, vein, and venules displays values in pseudo color.

 

Fig. 2 (a) Fluorescein angiogram with draining retinal venules labeled; edges of a venule (v1) are outlined; (b) Red crosses overlaid on the retinal image indicate the positions of a microsphere traversing a venule (v1) and major vein, visualized over 8 consecutive images; (c) An enface PO2 map depicting values in a segmented major retinal artery, vein, and venules. Color bar displays PO2 in mmHg.

Download Full Size | PPT Slide | PDF

Measured blood vessel diameter, velocity and calculated F in the draining venules connected to a major vein of one rat (shown in Fig. 2) are listed in Table 2 . Measured PO2 and O2 content of blood in the major retinal artery and venules of the same rat are also listed in Table 2. PO2 in the artery supplying the retinal area was assumed to be constant and the same as in the branching arterioles, since the branching arterioles are directly supplied by the major artery. It is not valid to use PO2 in the major vein to calculate the local inner retinal MO2 because the vein has substantial oxygen contributions from peripheral retinal tissue. Local inner retinal MO2 was calculated according to Eq. (1) to be 4.5 nlO2/min. The range of local inner retinal MO2 measurements was from 3.6 to 11.4 nlO2/min (5.1 ± 3.6 nlO2/min; N = 5). Local inner retinal MO2 measurements vary among rats depending on the volume of the retinal tissue drained by the selected venules.

Tables Icon

Table 2. Vessel diameter, blood velocity, and flow in retinal venules; PO2 and O2 content in retinal venules and a major retinal artery in one rat

4. Discussion

The feasibility of our methodology to measure quantitatively retinal blood flow and oxygen tension and to determine inner retinal metabolic rate of oxygen in rats was demonstrated. Our measurements in major retinal veins were in agreement with previously reported blood velocity [11,31] and vessel diameter [32] measurements in rats. Since blood velocity was determined by averaging velocities of multiple microspheres in each blood vessel, it is likely a reasonable estimate of the mean of the distribution of blood velocities that occur due to laminar flow. PO2 measurements in retinal arteries and veins were consistent with values obtained with microelectrodes near the surface of retinal blood vessels in rats [33]. For comparison to previously published studies of retinal oxygen consumption, global inner retina MO2 measurements obtained in the present study were divided by the estimated mass of inner retinal tissue in rat [34], yielding an average inner retinal oxygen consumption of 7.1 mlO2/min*100g. This value is somewhat higher than inner retinal oxygen consumption measured by determining arteriovenous oxygen differences and blood flow in separate groups of pigs (4.6 and 3.8 mlO2/min*100g) [35,36]. It is also higher than inner retinal oxygen consumption measurements obtained by oxygen microelectrodes for only a selected part of inner retina of rat, converted to the same units (1.1 mlO2/min*100g) [5], and with retinal artery occlusion and 100% oxygen inspiration in cat and rat (3.7 and 2.7 mlO2/min*100g) [7,8]. Differences in estimated parameters, such as the mass of inner retinal tissue, may in part account for variations of oxygen consumption values reported by various techniques.

In future studies, our method will allow investigation of the relationships among retinal blood flow, vascular oxygen levels, and oxygen consumption under normal and challenged physiological conditions. For example, by examining the same retinal tissue with and without light flicker, alterations in global and local inner retinal MO2 measurements can be evaluated. Such studies will improve understanding of neurovascular coupling under a normal physiological condition, as well as assessment of abnormalities due to pathological states. Overall, quantitative measurements of inner retinal MO2 have the potential to advance knowledge of retinal oxygen dynamics in health and disease.

Acknowledgments

The authors would like to acknowledge fruitful discussions with Dr. Charles Riva. NIH grants EY017918 and EY01792, senior scientific investigator award and an unrestricted departmental grant from Research to Prevent Blindness.

References and links

1. S. Yoneya, T. Saito, Y. Nishiyama, T. Deguchi, M. Takasu, T. Gil, and E. Horn, “Retinal oxygen saturation levels in patients with central retinal vein occlusion,” Ophthalmology 109(8), 1521–1526 (2002). [CrossRef]   [PubMed]  

2. W. Zhang, Y. Ito, E. Berlin, R. Roberts, and B. A. Berkowitz, “Role of hypoxia during normal retinal vessel development and in experimental retinopathy of prematurity,” Invest. Ophthalmol. Vis. Sci. 44(7), 3119–3123 (2003). [CrossRef]   [PubMed]  

3. M. Mozaffarieh, M. C. Grieshaber, and J. Flammer, “Oxygen and blood flow: players in the pathogenesis of glaucoma,” Mol. Vis. 14, 224–233 (2008). [PubMed]  

4. E. Stefansson, “Oxygen and diabetic eye disease,” Graefes Arch. Clin. Exp. Ophthalmol. 228(2), 120–123 (1990). [CrossRef]   [PubMed]  

5. S. J. Cringle, D. Y. Yu, P. K. Yu, and E. N. Su, “Intraretinal oxygen consumption in the rat in vivo,” Invest. Ophthalmol. Vis. Sci. 43(6), 1922–1927 (2002). [PubMed]  

6. V. A. Alder, J. Ben-Nun, and S. J. Cringle, “PO2 profiles and oxygen consumption in cat retina with an occluded retinal circulation,” Invest. Ophthalmol. Vis. Sci. 31(6), 1029–1034 (1990). [PubMed]  

7. R. D. Braun, R. A. Linsenmeier, and T. K. Goldstick, “Oxygen consumption in the inner and outer retina of the cat,” Invest. Ophthalmol. Vis. Sci. 36(3), 542–554 (1995). [PubMed]  

8. D. Y. Yu, S. J. Cringle, P. K. Yu, and E. N. Su, “Intraretinal oxygen distribution and consumption during retinal artery occlusion and graded hyperoxic ventilation in the rat,” Invest. Ophthalmol. Vis. Sci. 48(5), 2290–2296 (2007). [CrossRef]   [PubMed]  

9. Y. Ito and B. A. Berkowitz, “MR studies of retinal oxygenation,” Vision Res. 41(10-11), 1307–1311 (2001). [CrossRef]   [PubMed]  

10. Y. Zhang, Q. Peng, J. W. Kiel, C. A. Rosende, and T. Q. Duong, “Magnetic resonance imaging of vascular oxygenation changes during hyperoxia and carbogen challenges in the human retina,” Invest. Ophthalmol. Vis. Sci. 52(1), 286–291 (2011). [CrossRef]   [PubMed]  

11. S. D. Wajer, M. Taomoto, D. S. McLeod, R. L. McCally, H. Nishiwaki, M. E. Fabry, R. L. Nagel, and G. A. Lutty, “Velocity measurements of normal and sickle red blood cells in the rat retinal and choroidal vasculatures,” Microvasc. Res. 60(3), 281–293 (2000). [CrossRef]   [PubMed]  

12. R. Tadayoni, M. Paques, A. Gaudric, and E. Vicaut, “Erythrocyte and leukocyte dynamics in the retinal capillaries of diabetic mice,” Exp. Eye Res. 77(4), 497–504 (2003). [CrossRef]   [PubMed]  

13. W. S. Wright, J. E. Messina, and N. R. Harris, “Attenuation of diabetes-induced retinal vasoconstriction by a thromboxane receptor antagonist,” Exp. Eye Res. 88(1), 106–112 (2009). [CrossRef]   [PubMed]  

14. L. Wang, C. Grant, B. Fortune, and G. A. Cioffi, “Retinal and choroidal vasoreactivity to altered PaCO2 in rat measured with a modified microsphere technique,” Exp. Eye Res. 86(6), 908–913 (2008). [CrossRef]   [PubMed]  

15. J. E. Grunwald, C. E. Riva, S. H. Sinclair, A. J. Brucker, and B. L. Petrig, “Laser Doppler velocimetry study of retinal circulation in diabetes mellitus,” Arch. Ophthalmol. 104(7), 991–996 (1986). [PubMed]  

16. M. H. Cuypers, J. S. Kasanardjo, and B. C. Polak, “Retinal blood flow changes in diabetic retinopathy measured with the Heidelberg scanning laser Doppler flowmeter,” Graefes Arch. Clin. Exp. Ophthalmol. 238(12), 935–941 (2000). [CrossRef]   [PubMed]  

17. Y. Wang, A. Lu, J. Gil-Flamer, O. Tan, J. A. Izatt, and D. Huang, “Measurement of total blood flow in the normal human retina using Doppler Fourier-domain optical coherence tomography,” Br. J. Ophthalmol. 93(5), 634–637 (2009). [CrossRef]   [PubMed]  

18. M. Szkulmowski, I. Grulkowski, D. Szlag, A. Szkulmowska, A. Kowalczyk, and M. Wojtkowski, “Flow velocity estimation by complex ambiguity free joint spectral and time domain optical coherence tomography,” Opt. Express 17(16), 14281–14297 (2009). [CrossRef]   [PubMed]  

19. J. Sebag, F. C. Delori, G. T. Feke, and J. J. Weiter, “Effects of optic atrophy on retinal blood flow and oxygen saturation in humans,” Arch. Ophthalmol. 107(2), 222–226 (1989). [PubMed]  

20. T. Liu, Q. Wei, J. Wang, S. Jiao, and H. F. Zhang, “Combined photoacoustic microscopy and optical coherence tomography can measure metabolic rate of oxygen,” Biomed. Opt. Express 2(5), 1359–1365 (2011). [CrossRef]   [PubMed]  

21. V. Jain, M. C. Langham, and F. W. Wehrli, “MRI estimation of global brain oxygen consumption rate,” J. Cereb. Blood Flow Metab. 30(9), 1598–1607 (2010). [CrossRef]   [PubMed]  

22. R. M. Berne and M. N. Levy, Physiology, 2nd ed. (Mosby, St. Louis, MO, 1988).

23. M. Shahidi, J. Wanek, N. P. Blair, and M. Mori, “Three-dimensional mapping of chorioretinal vascular oxygen tension in the rat,” Invest. Ophthalmol. Vis. Sci. 50(2), 820–825 (2009). [CrossRef]   [PubMed]  

24. M. Shahidi, A. Shakoor, N. P. Blair, M. Mori, and R. Shonat, “A method for chorioretinal oxygen tension measurement,” Curr. Eye Res. 31(4), 357–366 (2006). [CrossRef]   [PubMed]  

25. B. A. Shapiro, W. T. Perruzi, and R. Kozelowski-Templin, in Clinical Application of Blood Gases (Mosby-Year Book, Inc, St. Louis, 1994), pp. 33–53.

26. J. B. West, Pulmonary Physiology and Pathophysiology: an Integrated, Case-Based Approach, 2nd ed. (Lippincott Williams & Wilkins, Philadelphia, PA, 2007).

27. C. F. Cartheuser, “Standard and pH-affected hemoglobin-O2 binding curves of Sprague-Dawley rats under normal and shifted P50 conditions,” Comp. Biochem. Physiol. Comp. Physiol. 106(4), 775–782 (1993). [CrossRef]   [PubMed]  

28. K. Lorentz, A. Zayas-Santiago, S. Tummala, and J. J. Kang Derwent, “Scanning laser ophthalmoscope-particle tracking method to assess blood velocity during hypoxia and hyperoxia,” Adv. Exp. Med. Biol. 614, 253–261 (2008). [CrossRef]   [PubMed]  

29. M. Shahidi, J. Wanek, B. Gaynes, and T. Wu, “Quantitative assessment of conjunctival microvascular circulation of the human eye,” Microvasc. Res. 79(2), 109–113 (2010). [CrossRef]   [PubMed]  

30. S. L. Meyer, in Data Analysis for Scientists and Engineers (Wiley, New York, 1975), pp. 39–48.

31. H. Nishiwaki, Y. Ogura, H. Kimura, J. Kiryu, K. Miyamoto, and N. Matsuda, “Visualization and quantitative analysis of leukocyte dynamics in retinal microcirculation of rats,” Invest. Ophthalmol. Vis. Sci. 37(7), 1341–1347 (1996). [PubMed]  

32. K. Yamakawa, I. A. Bhutto, Z. Lu, Y. Watanabe, and T. Amemiya, “Retinal vascular changes in rats with inherited hypercholesterolemia—corrosion cast demonstration,” Curr. Eye Res. 22(4), 258–265 (2001). [CrossRef]   [PubMed]  

33. D. Y. Yu, S. J. Cringle, V. A. Alder, and E. N. Su, “Intraretinal oxygen distribution in rats as a function of systemic blood pressure,” Am. J. Physiol. 267(6 Pt 2), H2498–H2507 (1994). [PubMed]  

34. J. Brotherton, “Studies on the metabolism of the rat retina with special reference to retinitis pigmentosa. I. Anaerobic glycolysis,” Exp. Eye Res. 1(3), 234–245 (1962). [CrossRef]   [PubMed]  

35. P. Törnquist and A. Alm, “Retinal and choroidal contribution to retinal metabolism in vivo. A study in pigs,” Acta Physiol. Scand. 106(3), 351–357 (1979). [CrossRef]   [PubMed]  

36. L. Wang, P. Törnquist, and A. Bill, “Glucose metabolism of the inner retina in pigs in darkness and light,” Acta Physiol. Scand. 160(1), 71–74 (1997). [PubMed]  

References

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  1. S. Yoneya, T. Saito, Y. Nishiyama, T. Deguchi, M. Takasu, T. Gil, and E. Horn, “Retinal oxygen saturation levels in patients with central retinal vein occlusion,” Ophthalmology 109(8), 1521–1526 (2002).
    [Crossref] [PubMed]
  2. W. Zhang, Y. Ito, E. Berlin, R. Roberts, and B. A. Berkowitz, “Role of hypoxia during normal retinal vessel development and in experimental retinopathy of prematurity,” Invest. Ophthalmol. Vis. Sci. 44(7), 3119–3123 (2003).
    [Crossref] [PubMed]
  3. M. Mozaffarieh, M. C. Grieshaber, and J. Flammer, “Oxygen and blood flow: players in the pathogenesis of glaucoma,” Mol. Vis. 14, 224–233 (2008).
    [PubMed]
  4. E. Stefansson, “Oxygen and diabetic eye disease,” Graefes Arch. Clin. Exp. Ophthalmol. 228(2), 120–123 (1990).
    [Crossref] [PubMed]
  5. S. J. Cringle, D. Y. Yu, P. K. Yu, and E. N. Su, “Intraretinal oxygen consumption in the rat in vivo,” Invest. Ophthalmol. Vis. Sci. 43(6), 1922–1927 (2002).
    [PubMed]
  6. V. A. Alder, J. Ben-Nun, and S. J. Cringle, “PO2 profiles and oxygen consumption in cat retina with an occluded retinal circulation,” Invest. Ophthalmol. Vis. Sci. 31(6), 1029–1034 (1990).
    [PubMed]
  7. R. D. Braun, R. A. Linsenmeier, and T. K. Goldstick, “Oxygen consumption in the inner and outer retina of the cat,” Invest. Ophthalmol. Vis. Sci. 36(3), 542–554 (1995).
    [PubMed]
  8. D. Y. Yu, S. J. Cringle, P. K. Yu, and E. N. Su, “Intraretinal oxygen distribution and consumption during retinal artery occlusion and graded hyperoxic ventilation in the rat,” Invest. Ophthalmol. Vis. Sci. 48(5), 2290–2296 (2007).
    [Crossref] [PubMed]
  9. Y. Ito and B. A. Berkowitz, “MR studies of retinal oxygenation,” Vision Res. 41(10-11), 1307–1311 (2001).
    [Crossref] [PubMed]
  10. Y. Zhang, Q. Peng, J. W. Kiel, C. A. Rosende, and T. Q. Duong, “Magnetic resonance imaging of vascular oxygenation changes during hyperoxia and carbogen challenges in the human retina,” Invest. Ophthalmol. Vis. Sci. 52(1), 286–291 (2011).
    [Crossref] [PubMed]
  11. S. D. Wajer, M. Taomoto, D. S. McLeod, R. L. McCally, H. Nishiwaki, M. E. Fabry, R. L. Nagel, and G. A. Lutty, “Velocity measurements of normal and sickle red blood cells in the rat retinal and choroidal vasculatures,” Microvasc. Res. 60(3), 281–293 (2000).
    [Crossref] [PubMed]
  12. R. Tadayoni, M. Paques, A. Gaudric, and E. Vicaut, “Erythrocyte and leukocyte dynamics in the retinal capillaries of diabetic mice,” Exp. Eye Res. 77(4), 497–504 (2003).
    [Crossref] [PubMed]
  13. W. S. Wright, J. E. Messina, and N. R. Harris, “Attenuation of diabetes-induced retinal vasoconstriction by a thromboxane receptor antagonist,” Exp. Eye Res. 88(1), 106–112 (2009).
    [Crossref] [PubMed]
  14. L. Wang, C. Grant, B. Fortune, and G. A. Cioffi, “Retinal and choroidal vasoreactivity to altered PaCO2 in rat measured with a modified microsphere technique,” Exp. Eye Res. 86(6), 908–913 (2008).
    [Crossref] [PubMed]
  15. J. E. Grunwald, C. E. Riva, S. H. Sinclair, A. J. Brucker, and B. L. Petrig, “Laser Doppler velocimetry study of retinal circulation in diabetes mellitus,” Arch. Ophthalmol. 104(7), 991–996 (1986).
    [PubMed]
  16. M. H. Cuypers, J. S. Kasanardjo, and B. C. Polak, “Retinal blood flow changes in diabetic retinopathy measured with the Heidelberg scanning laser Doppler flowmeter,” Graefes Arch. Clin. Exp. Ophthalmol. 238(12), 935–941 (2000).
    [Crossref] [PubMed]
  17. Y. Wang, A. Lu, J. Gil-Flamer, O. Tan, J. A. Izatt, and D. Huang, “Measurement of total blood flow in the normal human retina using Doppler Fourier-domain optical coherence tomography,” Br. J. Ophthalmol. 93(5), 634–637 (2009).
    [Crossref] [PubMed]
  18. M. Szkulmowski, I. Grulkowski, D. Szlag, A. Szkulmowska, A. Kowalczyk, and M. Wojtkowski, “Flow velocity estimation by complex ambiguity free joint spectral and time domain optical coherence tomography,” Opt. Express 17(16), 14281–14297 (2009).
    [Crossref] [PubMed]
  19. J. Sebag, F. C. Delori, G. T. Feke, and J. J. Weiter, “Effects of optic atrophy on retinal blood flow and oxygen saturation in humans,” Arch. Ophthalmol. 107(2), 222–226 (1989).
    [PubMed]
  20. T. Liu, Q. Wei, J. Wang, S. Jiao, and H. F. Zhang, “Combined photoacoustic microscopy and optical coherence tomography can measure metabolic rate of oxygen,” Biomed. Opt. Express 2(5), 1359–1365 (2011).
    [Crossref] [PubMed]
  21. V. Jain, M. C. Langham, and F. W. Wehrli, “MRI estimation of global brain oxygen consumption rate,” J. Cereb. Blood Flow Metab. 30(9), 1598–1607 (2010).
    [Crossref] [PubMed]
  22. R. M. Berne and M. N. Levy, Physiology, 2nd ed. (Mosby, St. Louis, MO, 1988).
  23. M. Shahidi, J. Wanek, N. P. Blair, and M. Mori, “Three-dimensional mapping of chorioretinal vascular oxygen tension in the rat,” Invest. Ophthalmol. Vis. Sci. 50(2), 820–825 (2009).
    [Crossref] [PubMed]
  24. M. Shahidi, A. Shakoor, N. P. Blair, M. Mori, and R. Shonat, “A method for chorioretinal oxygen tension measurement,” Curr. Eye Res. 31(4), 357–366 (2006).
    [Crossref] [PubMed]
  25. B. A. Shapiro, W. T. Perruzi, and R. Kozelowski-Templin, in Clinical Application of Blood Gases (Mosby-Year Book, Inc, St. Louis, 1994), pp. 33–53.
  26. J. B. West, Pulmonary Physiology and Pathophysiology: an Integrated, Case-Based Approach, 2nd ed. (Lippincott Williams & Wilkins, Philadelphia, PA, 2007).
  27. C. F. Cartheuser, “Standard and pH-affected hemoglobin-O2 binding curves of Sprague-Dawley rats under normal and shifted P50 conditions,” Comp. Biochem. Physiol. Comp. Physiol. 106(4), 775–782 (1993).
    [Crossref] [PubMed]
  28. K. Lorentz, A. Zayas-Santiago, S. Tummala, and J. J. Kang Derwent, “Scanning laser ophthalmoscope-particle tracking method to assess blood velocity during hypoxia and hyperoxia,” Adv. Exp. Med. Biol. 614, 253–261 (2008).
    [Crossref] [PubMed]
  29. M. Shahidi, J. Wanek, B. Gaynes, and T. Wu, “Quantitative assessment of conjunctival microvascular circulation of the human eye,” Microvasc. Res. 79(2), 109–113 (2010).
    [Crossref] [PubMed]
  30. S. L. Meyer, in Data Analysis for Scientists and Engineers (Wiley, New York, 1975), pp. 39–48.
  31. H. Nishiwaki, Y. Ogura, H. Kimura, J. Kiryu, K. Miyamoto, and N. Matsuda, “Visualization and quantitative analysis of leukocyte dynamics in retinal microcirculation of rats,” Invest. Ophthalmol. Vis. Sci. 37(7), 1341–1347 (1996).
    [PubMed]
  32. K. Yamakawa, I. A. Bhutto, Z. Lu, Y. Watanabe, and T. Amemiya, “Retinal vascular changes in rats with inherited hypercholesterolemia—corrosion cast demonstration,” Curr. Eye Res. 22(4), 258–265 (2001).
    [Crossref] [PubMed]
  33. D. Y. Yu, S. J. Cringle, V. A. Alder, and E. N. Su, “Intraretinal oxygen distribution in rats as a function of systemic blood pressure,” Am. J. Physiol. 267(6 Pt 2), H2498–H2507 (1994).
    [PubMed]
  34. J. Brotherton, “Studies on the metabolism of the rat retina with special reference to retinitis pigmentosa. I. Anaerobic glycolysis,” Exp. Eye Res. 1(3), 234–245 (1962).
    [Crossref] [PubMed]
  35. P. Törnquist and A. Alm, “Retinal and choroidal contribution to retinal metabolism in vivo. A study in pigs,” Acta Physiol. Scand. 106(3), 351–357 (1979).
    [Crossref] [PubMed]
  36. L. Wang, P. Törnquist, and A. Bill, “Glucose metabolism of the inner retina in pigs in darkness and light,” Acta Physiol. Scand. 160(1), 71–74 (1997).
    [PubMed]

2011 (2)

Y. Zhang, Q. Peng, J. W. Kiel, C. A. Rosende, and T. Q. Duong, “Magnetic resonance imaging of vascular oxygenation changes during hyperoxia and carbogen challenges in the human retina,” Invest. Ophthalmol. Vis. Sci. 52(1), 286–291 (2011).
[Crossref] [PubMed]

T. Liu, Q. Wei, J. Wang, S. Jiao, and H. F. Zhang, “Combined photoacoustic microscopy and optical coherence tomography can measure metabolic rate of oxygen,” Biomed. Opt. Express 2(5), 1359–1365 (2011).
[Crossref] [PubMed]

2010 (2)

V. Jain, M. C. Langham, and F. W. Wehrli, “MRI estimation of global brain oxygen consumption rate,” J. Cereb. Blood Flow Metab. 30(9), 1598–1607 (2010).
[Crossref] [PubMed]

M. Shahidi, J. Wanek, B. Gaynes, and T. Wu, “Quantitative assessment of conjunctival microvascular circulation of the human eye,” Microvasc. Res. 79(2), 109–113 (2010).
[Crossref] [PubMed]

2009 (4)

M. Shahidi, J. Wanek, N. P. Blair, and M. Mori, “Three-dimensional mapping of chorioretinal vascular oxygen tension in the rat,” Invest. Ophthalmol. Vis. Sci. 50(2), 820–825 (2009).
[Crossref] [PubMed]

W. S. Wright, J. E. Messina, and N. R. Harris, “Attenuation of diabetes-induced retinal vasoconstriction by a thromboxane receptor antagonist,” Exp. Eye Res. 88(1), 106–112 (2009).
[Crossref] [PubMed]

Y. Wang, A. Lu, J. Gil-Flamer, O. Tan, J. A. Izatt, and D. Huang, “Measurement of total blood flow in the normal human retina using Doppler Fourier-domain optical coherence tomography,” Br. J. Ophthalmol. 93(5), 634–637 (2009).
[Crossref] [PubMed]

M. Szkulmowski, I. Grulkowski, D. Szlag, A. Szkulmowska, A. Kowalczyk, and M. Wojtkowski, “Flow velocity estimation by complex ambiguity free joint spectral and time domain optical coherence tomography,” Opt. Express 17(16), 14281–14297 (2009).
[Crossref] [PubMed]

2008 (3)

L. Wang, C. Grant, B. Fortune, and G. A. Cioffi, “Retinal and choroidal vasoreactivity to altered PaCO2 in rat measured with a modified microsphere technique,” Exp. Eye Res. 86(6), 908–913 (2008).
[Crossref] [PubMed]

M. Mozaffarieh, M. C. Grieshaber, and J. Flammer, “Oxygen and blood flow: players in the pathogenesis of glaucoma,” Mol. Vis. 14, 224–233 (2008).
[PubMed]

K. Lorentz, A. Zayas-Santiago, S. Tummala, and J. J. Kang Derwent, “Scanning laser ophthalmoscope-particle tracking method to assess blood velocity during hypoxia and hyperoxia,” Adv. Exp. Med. Biol. 614, 253–261 (2008).
[Crossref] [PubMed]

2007 (1)

D. Y. Yu, S. J. Cringle, P. K. Yu, and E. N. Su, “Intraretinal oxygen distribution and consumption during retinal artery occlusion and graded hyperoxic ventilation in the rat,” Invest. Ophthalmol. Vis. Sci. 48(5), 2290–2296 (2007).
[Crossref] [PubMed]

2006 (1)

M. Shahidi, A. Shakoor, N. P. Blair, M. Mori, and R. Shonat, “A method for chorioretinal oxygen tension measurement,” Curr. Eye Res. 31(4), 357–366 (2006).
[Crossref] [PubMed]

2003 (2)

W. Zhang, Y. Ito, E. Berlin, R. Roberts, and B. A. Berkowitz, “Role of hypoxia during normal retinal vessel development and in experimental retinopathy of prematurity,” Invest. Ophthalmol. Vis. Sci. 44(7), 3119–3123 (2003).
[Crossref] [PubMed]

R. Tadayoni, M. Paques, A. Gaudric, and E. Vicaut, “Erythrocyte and leukocyte dynamics in the retinal capillaries of diabetic mice,” Exp. Eye Res. 77(4), 497–504 (2003).
[Crossref] [PubMed]

2002 (2)

S. Yoneya, T. Saito, Y. Nishiyama, T. Deguchi, M. Takasu, T. Gil, and E. Horn, “Retinal oxygen saturation levels in patients with central retinal vein occlusion,” Ophthalmology 109(8), 1521–1526 (2002).
[Crossref] [PubMed]

S. J. Cringle, D. Y. Yu, P. K. Yu, and E. N. Su, “Intraretinal oxygen consumption in the rat in vivo,” Invest. Ophthalmol. Vis. Sci. 43(6), 1922–1927 (2002).
[PubMed]

2001 (2)

Y. Ito and B. A. Berkowitz, “MR studies of retinal oxygenation,” Vision Res. 41(10-11), 1307–1311 (2001).
[Crossref] [PubMed]

K. Yamakawa, I. A. Bhutto, Z. Lu, Y. Watanabe, and T. Amemiya, “Retinal vascular changes in rats with inherited hypercholesterolemia—corrosion cast demonstration,” Curr. Eye Res. 22(4), 258–265 (2001).
[Crossref] [PubMed]

2000 (2)

M. H. Cuypers, J. S. Kasanardjo, and B. C. Polak, “Retinal blood flow changes in diabetic retinopathy measured with the Heidelberg scanning laser Doppler flowmeter,” Graefes Arch. Clin. Exp. Ophthalmol. 238(12), 935–941 (2000).
[Crossref] [PubMed]

S. D. Wajer, M. Taomoto, D. S. McLeod, R. L. McCally, H. Nishiwaki, M. E. Fabry, R. L. Nagel, and G. A. Lutty, “Velocity measurements of normal and sickle red blood cells in the rat retinal and choroidal vasculatures,” Microvasc. Res. 60(3), 281–293 (2000).
[Crossref] [PubMed]

1997 (1)

L. Wang, P. Törnquist, and A. Bill, “Glucose metabolism of the inner retina in pigs in darkness and light,” Acta Physiol. Scand. 160(1), 71–74 (1997).
[PubMed]

1996 (1)

H. Nishiwaki, Y. Ogura, H. Kimura, J. Kiryu, K. Miyamoto, and N. Matsuda, “Visualization and quantitative analysis of leukocyte dynamics in retinal microcirculation of rats,” Invest. Ophthalmol. Vis. Sci. 37(7), 1341–1347 (1996).
[PubMed]

1995 (1)

R. D. Braun, R. A. Linsenmeier, and T. K. Goldstick, “Oxygen consumption in the inner and outer retina of the cat,” Invest. Ophthalmol. Vis. Sci. 36(3), 542–554 (1995).
[PubMed]

1994 (1)

D. Y. Yu, S. J. Cringle, V. A. Alder, and E. N. Su, “Intraretinal oxygen distribution in rats as a function of systemic blood pressure,” Am. J. Physiol. 267(6 Pt 2), H2498–H2507 (1994).
[PubMed]

1993 (1)

C. F. Cartheuser, “Standard and pH-affected hemoglobin-O2 binding curves of Sprague-Dawley rats under normal and shifted P50 conditions,” Comp. Biochem. Physiol. Comp. Physiol. 106(4), 775–782 (1993).
[Crossref] [PubMed]

1990 (2)

V. A. Alder, J. Ben-Nun, and S. J. Cringle, “PO2 profiles and oxygen consumption in cat retina with an occluded retinal circulation,” Invest. Ophthalmol. Vis. Sci. 31(6), 1029–1034 (1990).
[PubMed]

E. Stefansson, “Oxygen and diabetic eye disease,” Graefes Arch. Clin. Exp. Ophthalmol. 228(2), 120–123 (1990).
[Crossref] [PubMed]

1989 (1)

J. Sebag, F. C. Delori, G. T. Feke, and J. J. Weiter, “Effects of optic atrophy on retinal blood flow and oxygen saturation in humans,” Arch. Ophthalmol. 107(2), 222–226 (1989).
[PubMed]

1986 (1)

J. E. Grunwald, C. E. Riva, S. H. Sinclair, A. J. Brucker, and B. L. Petrig, “Laser Doppler velocimetry study of retinal circulation in diabetes mellitus,” Arch. Ophthalmol. 104(7), 991–996 (1986).
[PubMed]

1979 (1)

P. Törnquist and A. Alm, “Retinal and choroidal contribution to retinal metabolism in vivo. A study in pigs,” Acta Physiol. Scand. 106(3), 351–357 (1979).
[Crossref] [PubMed]

1962 (1)

J. Brotherton, “Studies on the metabolism of the rat retina with special reference to retinitis pigmentosa. I. Anaerobic glycolysis,” Exp. Eye Res. 1(3), 234–245 (1962).
[Crossref] [PubMed]

Alder, V. A.

D. Y. Yu, S. J. Cringle, V. A. Alder, and E. N. Su, “Intraretinal oxygen distribution in rats as a function of systemic blood pressure,” Am. J. Physiol. 267(6 Pt 2), H2498–H2507 (1994).
[PubMed]

V. A. Alder, J. Ben-Nun, and S. J. Cringle, “PO2 profiles and oxygen consumption in cat retina with an occluded retinal circulation,” Invest. Ophthalmol. Vis. Sci. 31(6), 1029–1034 (1990).
[PubMed]

Alm, A.

P. Törnquist and A. Alm, “Retinal and choroidal contribution to retinal metabolism in vivo. A study in pigs,” Acta Physiol. Scand. 106(3), 351–357 (1979).
[Crossref] [PubMed]

Amemiya, T.

K. Yamakawa, I. A. Bhutto, Z. Lu, Y. Watanabe, and T. Amemiya, “Retinal vascular changes in rats with inherited hypercholesterolemia—corrosion cast demonstration,” Curr. Eye Res. 22(4), 258–265 (2001).
[Crossref] [PubMed]

Ben-Nun, J.

V. A. Alder, J. Ben-Nun, and S. J. Cringle, “PO2 profiles and oxygen consumption in cat retina with an occluded retinal circulation,” Invest. Ophthalmol. Vis. Sci. 31(6), 1029–1034 (1990).
[PubMed]

Berkowitz, B. A.

W. Zhang, Y. Ito, E. Berlin, R. Roberts, and B. A. Berkowitz, “Role of hypoxia during normal retinal vessel development and in experimental retinopathy of prematurity,” Invest. Ophthalmol. Vis. Sci. 44(7), 3119–3123 (2003).
[Crossref] [PubMed]

Y. Ito and B. A. Berkowitz, “MR studies of retinal oxygenation,” Vision Res. 41(10-11), 1307–1311 (2001).
[Crossref] [PubMed]

Berlin, E.

W. Zhang, Y. Ito, E. Berlin, R. Roberts, and B. A. Berkowitz, “Role of hypoxia during normal retinal vessel development and in experimental retinopathy of prematurity,” Invest. Ophthalmol. Vis. Sci. 44(7), 3119–3123 (2003).
[Crossref] [PubMed]

Bhutto, I. A.

K. Yamakawa, I. A. Bhutto, Z. Lu, Y. Watanabe, and T. Amemiya, “Retinal vascular changes in rats with inherited hypercholesterolemia—corrosion cast demonstration,” Curr. Eye Res. 22(4), 258–265 (2001).
[Crossref] [PubMed]

Bill, A.

L. Wang, P. Törnquist, and A. Bill, “Glucose metabolism of the inner retina in pigs in darkness and light,” Acta Physiol. Scand. 160(1), 71–74 (1997).
[PubMed]

Blair, N. P.

M. Shahidi, J. Wanek, N. P. Blair, and M. Mori, “Three-dimensional mapping of chorioretinal vascular oxygen tension in the rat,” Invest. Ophthalmol. Vis. Sci. 50(2), 820–825 (2009).
[Crossref] [PubMed]

M. Shahidi, A. Shakoor, N. P. Blair, M. Mori, and R. Shonat, “A method for chorioretinal oxygen tension measurement,” Curr. Eye Res. 31(4), 357–366 (2006).
[Crossref] [PubMed]

Braun, R. D.

R. D. Braun, R. A. Linsenmeier, and T. K. Goldstick, “Oxygen consumption in the inner and outer retina of the cat,” Invest. Ophthalmol. Vis. Sci. 36(3), 542–554 (1995).
[PubMed]

Brotherton, J.

J. Brotherton, “Studies on the metabolism of the rat retina with special reference to retinitis pigmentosa. I. Anaerobic glycolysis,” Exp. Eye Res. 1(3), 234–245 (1962).
[Crossref] [PubMed]

Brucker, A. J.

J. E. Grunwald, C. E. Riva, S. H. Sinclair, A. J. Brucker, and B. L. Petrig, “Laser Doppler velocimetry study of retinal circulation in diabetes mellitus,” Arch. Ophthalmol. 104(7), 991–996 (1986).
[PubMed]

Cartheuser, C. F.

C. F. Cartheuser, “Standard and pH-affected hemoglobin-O2 binding curves of Sprague-Dawley rats under normal and shifted P50 conditions,” Comp. Biochem. Physiol. Comp. Physiol. 106(4), 775–782 (1993).
[Crossref] [PubMed]

Cioffi, G. A.

L. Wang, C. Grant, B. Fortune, and G. A. Cioffi, “Retinal and choroidal vasoreactivity to altered PaCO2 in rat measured with a modified microsphere technique,” Exp. Eye Res. 86(6), 908–913 (2008).
[Crossref] [PubMed]

Cringle, S. J.

D. Y. Yu, S. J. Cringle, P. K. Yu, and E. N. Su, “Intraretinal oxygen distribution and consumption during retinal artery occlusion and graded hyperoxic ventilation in the rat,” Invest. Ophthalmol. Vis. Sci. 48(5), 2290–2296 (2007).
[Crossref] [PubMed]

S. J. Cringle, D. Y. Yu, P. K. Yu, and E. N. Su, “Intraretinal oxygen consumption in the rat in vivo,” Invest. Ophthalmol. Vis. Sci. 43(6), 1922–1927 (2002).
[PubMed]

D. Y. Yu, S. J. Cringle, V. A. Alder, and E. N. Su, “Intraretinal oxygen distribution in rats as a function of systemic blood pressure,” Am. J. Physiol. 267(6 Pt 2), H2498–H2507 (1994).
[PubMed]

V. A. Alder, J. Ben-Nun, and S. J. Cringle, “PO2 profiles and oxygen consumption in cat retina with an occluded retinal circulation,” Invest. Ophthalmol. Vis. Sci. 31(6), 1029–1034 (1990).
[PubMed]

Cuypers, M. H.

M. H. Cuypers, J. S. Kasanardjo, and B. C. Polak, “Retinal blood flow changes in diabetic retinopathy measured with the Heidelberg scanning laser Doppler flowmeter,” Graefes Arch. Clin. Exp. Ophthalmol. 238(12), 935–941 (2000).
[Crossref] [PubMed]

Deguchi, T.

S. Yoneya, T. Saito, Y. Nishiyama, T. Deguchi, M. Takasu, T. Gil, and E. Horn, “Retinal oxygen saturation levels in patients with central retinal vein occlusion,” Ophthalmology 109(8), 1521–1526 (2002).
[Crossref] [PubMed]

Delori, F. C.

J. Sebag, F. C. Delori, G. T. Feke, and J. J. Weiter, “Effects of optic atrophy on retinal blood flow and oxygen saturation in humans,” Arch. Ophthalmol. 107(2), 222–226 (1989).
[PubMed]

Duong, T. Q.

Y. Zhang, Q. Peng, J. W. Kiel, C. A. Rosende, and T. Q. Duong, “Magnetic resonance imaging of vascular oxygenation changes during hyperoxia and carbogen challenges in the human retina,” Invest. Ophthalmol. Vis. Sci. 52(1), 286–291 (2011).
[Crossref] [PubMed]

Fabry, M. E.

S. D. Wajer, M. Taomoto, D. S. McLeod, R. L. McCally, H. Nishiwaki, M. E. Fabry, R. L. Nagel, and G. A. Lutty, “Velocity measurements of normal and sickle red blood cells in the rat retinal and choroidal vasculatures,” Microvasc. Res. 60(3), 281–293 (2000).
[Crossref] [PubMed]

Feke, G. T.

J. Sebag, F. C. Delori, G. T. Feke, and J. J. Weiter, “Effects of optic atrophy on retinal blood flow and oxygen saturation in humans,” Arch. Ophthalmol. 107(2), 222–226 (1989).
[PubMed]

Flammer, J.

M. Mozaffarieh, M. C. Grieshaber, and J. Flammer, “Oxygen and blood flow: players in the pathogenesis of glaucoma,” Mol. Vis. 14, 224–233 (2008).
[PubMed]

Fortune, B.

L. Wang, C. Grant, B. Fortune, and G. A. Cioffi, “Retinal and choroidal vasoreactivity to altered PaCO2 in rat measured with a modified microsphere technique,” Exp. Eye Res. 86(6), 908–913 (2008).
[Crossref] [PubMed]

Gaudric, A.

R. Tadayoni, M. Paques, A. Gaudric, and E. Vicaut, “Erythrocyte and leukocyte dynamics in the retinal capillaries of diabetic mice,” Exp. Eye Res. 77(4), 497–504 (2003).
[Crossref] [PubMed]

Gaynes, B.

M. Shahidi, J. Wanek, B. Gaynes, and T. Wu, “Quantitative assessment of conjunctival microvascular circulation of the human eye,” Microvasc. Res. 79(2), 109–113 (2010).
[Crossref] [PubMed]

Gil, T.

S. Yoneya, T. Saito, Y. Nishiyama, T. Deguchi, M. Takasu, T. Gil, and E. Horn, “Retinal oxygen saturation levels in patients with central retinal vein occlusion,” Ophthalmology 109(8), 1521–1526 (2002).
[Crossref] [PubMed]

Gil-Flamer, J.

Y. Wang, A. Lu, J. Gil-Flamer, O. Tan, J. A. Izatt, and D. Huang, “Measurement of total blood flow in the normal human retina using Doppler Fourier-domain optical coherence tomography,” Br. J. Ophthalmol. 93(5), 634–637 (2009).
[Crossref] [PubMed]

Goldstick, T. K.

R. D. Braun, R. A. Linsenmeier, and T. K. Goldstick, “Oxygen consumption in the inner and outer retina of the cat,” Invest. Ophthalmol. Vis. Sci. 36(3), 542–554 (1995).
[PubMed]

Grant, C.

L. Wang, C. Grant, B. Fortune, and G. A. Cioffi, “Retinal and choroidal vasoreactivity to altered PaCO2 in rat measured with a modified microsphere technique,” Exp. Eye Res. 86(6), 908–913 (2008).
[Crossref] [PubMed]

Grieshaber, M. C.

M. Mozaffarieh, M. C. Grieshaber, and J. Flammer, “Oxygen and blood flow: players in the pathogenesis of glaucoma,” Mol. Vis. 14, 224–233 (2008).
[PubMed]

Grulkowski, I.

Grunwald, J. E.

J. E. Grunwald, C. E. Riva, S. H. Sinclair, A. J. Brucker, and B. L. Petrig, “Laser Doppler velocimetry study of retinal circulation in diabetes mellitus,” Arch. Ophthalmol. 104(7), 991–996 (1986).
[PubMed]

Harris, N. R.

W. S. Wright, J. E. Messina, and N. R. Harris, “Attenuation of diabetes-induced retinal vasoconstriction by a thromboxane receptor antagonist,” Exp. Eye Res. 88(1), 106–112 (2009).
[Crossref] [PubMed]

Horn, E.

S. Yoneya, T. Saito, Y. Nishiyama, T. Deguchi, M. Takasu, T. Gil, and E. Horn, “Retinal oxygen saturation levels in patients with central retinal vein occlusion,” Ophthalmology 109(8), 1521–1526 (2002).
[Crossref] [PubMed]

Huang, D.

Y. Wang, A. Lu, J. Gil-Flamer, O. Tan, J. A. Izatt, and D. Huang, “Measurement of total blood flow in the normal human retina using Doppler Fourier-domain optical coherence tomography,” Br. J. Ophthalmol. 93(5), 634–637 (2009).
[Crossref] [PubMed]

Ito, Y.

W. Zhang, Y. Ito, E. Berlin, R. Roberts, and B. A. Berkowitz, “Role of hypoxia during normal retinal vessel development and in experimental retinopathy of prematurity,” Invest. Ophthalmol. Vis. Sci. 44(7), 3119–3123 (2003).
[Crossref] [PubMed]

Y. Ito and B. A. Berkowitz, “MR studies of retinal oxygenation,” Vision Res. 41(10-11), 1307–1311 (2001).
[Crossref] [PubMed]

Izatt, J. A.

Y. Wang, A. Lu, J. Gil-Flamer, O. Tan, J. A. Izatt, and D. Huang, “Measurement of total blood flow in the normal human retina using Doppler Fourier-domain optical coherence tomography,” Br. J. Ophthalmol. 93(5), 634–637 (2009).
[Crossref] [PubMed]

Jain, V.

V. Jain, M. C. Langham, and F. W. Wehrli, “MRI estimation of global brain oxygen consumption rate,” J. Cereb. Blood Flow Metab. 30(9), 1598–1607 (2010).
[Crossref] [PubMed]

Jiao, S.

Kang Derwent, J. J.

K. Lorentz, A. Zayas-Santiago, S. Tummala, and J. J. Kang Derwent, “Scanning laser ophthalmoscope-particle tracking method to assess blood velocity during hypoxia and hyperoxia,” Adv. Exp. Med. Biol. 614, 253–261 (2008).
[Crossref] [PubMed]

Kasanardjo, J. S.

M. H. Cuypers, J. S. Kasanardjo, and B. C. Polak, “Retinal blood flow changes in diabetic retinopathy measured with the Heidelberg scanning laser Doppler flowmeter,” Graefes Arch. Clin. Exp. Ophthalmol. 238(12), 935–941 (2000).
[Crossref] [PubMed]

Kiel, J. W.

Y. Zhang, Q. Peng, J. W. Kiel, C. A. Rosende, and T. Q. Duong, “Magnetic resonance imaging of vascular oxygenation changes during hyperoxia and carbogen challenges in the human retina,” Invest. Ophthalmol. Vis. Sci. 52(1), 286–291 (2011).
[Crossref] [PubMed]

Kimura, H.

H. Nishiwaki, Y. Ogura, H. Kimura, J. Kiryu, K. Miyamoto, and N. Matsuda, “Visualization and quantitative analysis of leukocyte dynamics in retinal microcirculation of rats,” Invest. Ophthalmol. Vis. Sci. 37(7), 1341–1347 (1996).
[PubMed]

Kiryu, J.

H. Nishiwaki, Y. Ogura, H. Kimura, J. Kiryu, K. Miyamoto, and N. Matsuda, “Visualization and quantitative analysis of leukocyte dynamics in retinal microcirculation of rats,” Invest. Ophthalmol. Vis. Sci. 37(7), 1341–1347 (1996).
[PubMed]

Kowalczyk, A.

Langham, M. C.

V. Jain, M. C. Langham, and F. W. Wehrli, “MRI estimation of global brain oxygen consumption rate,” J. Cereb. Blood Flow Metab. 30(9), 1598–1607 (2010).
[Crossref] [PubMed]

Linsenmeier, R. A.

R. D. Braun, R. A. Linsenmeier, and T. K. Goldstick, “Oxygen consumption in the inner and outer retina of the cat,” Invest. Ophthalmol. Vis. Sci. 36(3), 542–554 (1995).
[PubMed]

Liu, T.

Lorentz, K.

K. Lorentz, A. Zayas-Santiago, S. Tummala, and J. J. Kang Derwent, “Scanning laser ophthalmoscope-particle tracking method to assess blood velocity during hypoxia and hyperoxia,” Adv. Exp. Med. Biol. 614, 253–261 (2008).
[Crossref] [PubMed]

Lu, A.

Y. Wang, A. Lu, J. Gil-Flamer, O. Tan, J. A. Izatt, and D. Huang, “Measurement of total blood flow in the normal human retina using Doppler Fourier-domain optical coherence tomography,” Br. J. Ophthalmol. 93(5), 634–637 (2009).
[Crossref] [PubMed]

Lu, Z.

K. Yamakawa, I. A. Bhutto, Z. Lu, Y. Watanabe, and T. Amemiya, “Retinal vascular changes in rats with inherited hypercholesterolemia—corrosion cast demonstration,” Curr. Eye Res. 22(4), 258–265 (2001).
[Crossref] [PubMed]

Lutty, G. A.

S. D. Wajer, M. Taomoto, D. S. McLeod, R. L. McCally, H. Nishiwaki, M. E. Fabry, R. L. Nagel, and G. A. Lutty, “Velocity measurements of normal and sickle red blood cells in the rat retinal and choroidal vasculatures,” Microvasc. Res. 60(3), 281–293 (2000).
[Crossref] [PubMed]

Matsuda, N.

H. Nishiwaki, Y. Ogura, H. Kimura, J. Kiryu, K. Miyamoto, and N. Matsuda, “Visualization and quantitative analysis of leukocyte dynamics in retinal microcirculation of rats,” Invest. Ophthalmol. Vis. Sci. 37(7), 1341–1347 (1996).
[PubMed]

McCally, R. L.

S. D. Wajer, M. Taomoto, D. S. McLeod, R. L. McCally, H. Nishiwaki, M. E. Fabry, R. L. Nagel, and G. A. Lutty, “Velocity measurements of normal and sickle red blood cells in the rat retinal and choroidal vasculatures,” Microvasc. Res. 60(3), 281–293 (2000).
[Crossref] [PubMed]

McLeod, D. S.

S. D. Wajer, M. Taomoto, D. S. McLeod, R. L. McCally, H. Nishiwaki, M. E. Fabry, R. L. Nagel, and G. A. Lutty, “Velocity measurements of normal and sickle red blood cells in the rat retinal and choroidal vasculatures,” Microvasc. Res. 60(3), 281–293 (2000).
[Crossref] [PubMed]

Messina, J. E.

W. S. Wright, J. E. Messina, and N. R. Harris, “Attenuation of diabetes-induced retinal vasoconstriction by a thromboxane receptor antagonist,” Exp. Eye Res. 88(1), 106–112 (2009).
[Crossref] [PubMed]

Miyamoto, K.

H. Nishiwaki, Y. Ogura, H. Kimura, J. Kiryu, K. Miyamoto, and N. Matsuda, “Visualization and quantitative analysis of leukocyte dynamics in retinal microcirculation of rats,” Invest. Ophthalmol. Vis. Sci. 37(7), 1341–1347 (1996).
[PubMed]

Mori, M.

M. Shahidi, J. Wanek, N. P. Blair, and M. Mori, “Three-dimensional mapping of chorioretinal vascular oxygen tension in the rat,” Invest. Ophthalmol. Vis. Sci. 50(2), 820–825 (2009).
[Crossref] [PubMed]

M. Shahidi, A. Shakoor, N. P. Blair, M. Mori, and R. Shonat, “A method for chorioretinal oxygen tension measurement,” Curr. Eye Res. 31(4), 357–366 (2006).
[Crossref] [PubMed]

Mozaffarieh, M.

M. Mozaffarieh, M. C. Grieshaber, and J. Flammer, “Oxygen and blood flow: players in the pathogenesis of glaucoma,” Mol. Vis. 14, 224–233 (2008).
[PubMed]

Nagel, R. L.

S. D. Wajer, M. Taomoto, D. S. McLeod, R. L. McCally, H. Nishiwaki, M. E. Fabry, R. L. Nagel, and G. A. Lutty, “Velocity measurements of normal and sickle red blood cells in the rat retinal and choroidal vasculatures,” Microvasc. Res. 60(3), 281–293 (2000).
[Crossref] [PubMed]

Nishiwaki, H.

S. D. Wajer, M. Taomoto, D. S. McLeod, R. L. McCally, H. Nishiwaki, M. E. Fabry, R. L. Nagel, and G. A. Lutty, “Velocity measurements of normal and sickle red blood cells in the rat retinal and choroidal vasculatures,” Microvasc. Res. 60(3), 281–293 (2000).
[Crossref] [PubMed]

H. Nishiwaki, Y. Ogura, H. Kimura, J. Kiryu, K. Miyamoto, and N. Matsuda, “Visualization and quantitative analysis of leukocyte dynamics in retinal microcirculation of rats,” Invest. Ophthalmol. Vis. Sci. 37(7), 1341–1347 (1996).
[PubMed]

Nishiyama, Y.

S. Yoneya, T. Saito, Y. Nishiyama, T. Deguchi, M. Takasu, T. Gil, and E. Horn, “Retinal oxygen saturation levels in patients with central retinal vein occlusion,” Ophthalmology 109(8), 1521–1526 (2002).
[Crossref] [PubMed]

Ogura, Y.

H. Nishiwaki, Y. Ogura, H. Kimura, J. Kiryu, K. Miyamoto, and N. Matsuda, “Visualization and quantitative analysis of leukocyte dynamics in retinal microcirculation of rats,” Invest. Ophthalmol. Vis. Sci. 37(7), 1341–1347 (1996).
[PubMed]

Paques, M.

R. Tadayoni, M. Paques, A. Gaudric, and E. Vicaut, “Erythrocyte and leukocyte dynamics in the retinal capillaries of diabetic mice,” Exp. Eye Res. 77(4), 497–504 (2003).
[Crossref] [PubMed]

Peng, Q.

Y. Zhang, Q. Peng, J. W. Kiel, C. A. Rosende, and T. Q. Duong, “Magnetic resonance imaging of vascular oxygenation changes during hyperoxia and carbogen challenges in the human retina,” Invest. Ophthalmol. Vis. Sci. 52(1), 286–291 (2011).
[Crossref] [PubMed]

Petrig, B. L.

J. E. Grunwald, C. E. Riva, S. H. Sinclair, A. J. Brucker, and B. L. Petrig, “Laser Doppler velocimetry study of retinal circulation in diabetes mellitus,” Arch. Ophthalmol. 104(7), 991–996 (1986).
[PubMed]

Polak, B. C.

M. H. Cuypers, J. S. Kasanardjo, and B. C. Polak, “Retinal blood flow changes in diabetic retinopathy measured with the Heidelberg scanning laser Doppler flowmeter,” Graefes Arch. Clin. Exp. Ophthalmol. 238(12), 935–941 (2000).
[Crossref] [PubMed]

Riva, C. E.

J. E. Grunwald, C. E. Riva, S. H. Sinclair, A. J. Brucker, and B. L. Petrig, “Laser Doppler velocimetry study of retinal circulation in diabetes mellitus,” Arch. Ophthalmol. 104(7), 991–996 (1986).
[PubMed]

Roberts, R.

W. Zhang, Y. Ito, E. Berlin, R. Roberts, and B. A. Berkowitz, “Role of hypoxia during normal retinal vessel development and in experimental retinopathy of prematurity,” Invest. Ophthalmol. Vis. Sci. 44(7), 3119–3123 (2003).
[Crossref] [PubMed]

Rosende, C. A.

Y. Zhang, Q. Peng, J. W. Kiel, C. A. Rosende, and T. Q. Duong, “Magnetic resonance imaging of vascular oxygenation changes during hyperoxia and carbogen challenges in the human retina,” Invest. Ophthalmol. Vis. Sci. 52(1), 286–291 (2011).
[Crossref] [PubMed]

Saito, T.

S. Yoneya, T. Saito, Y. Nishiyama, T. Deguchi, M. Takasu, T. Gil, and E. Horn, “Retinal oxygen saturation levels in patients with central retinal vein occlusion,” Ophthalmology 109(8), 1521–1526 (2002).
[Crossref] [PubMed]

Sebag, J.

J. Sebag, F. C. Delori, G. T. Feke, and J. J. Weiter, “Effects of optic atrophy on retinal blood flow and oxygen saturation in humans,” Arch. Ophthalmol. 107(2), 222–226 (1989).
[PubMed]

Shahidi, M.

M. Shahidi, J. Wanek, B. Gaynes, and T. Wu, “Quantitative assessment of conjunctival microvascular circulation of the human eye,” Microvasc. Res. 79(2), 109–113 (2010).
[Crossref] [PubMed]

M. Shahidi, J. Wanek, N. P. Blair, and M. Mori, “Three-dimensional mapping of chorioretinal vascular oxygen tension in the rat,” Invest. Ophthalmol. Vis. Sci. 50(2), 820–825 (2009).
[Crossref] [PubMed]

M. Shahidi, A. Shakoor, N. P. Blair, M. Mori, and R. Shonat, “A method for chorioretinal oxygen tension measurement,” Curr. Eye Res. 31(4), 357–366 (2006).
[Crossref] [PubMed]

Shakoor, A.

M. Shahidi, A. Shakoor, N. P. Blair, M. Mori, and R. Shonat, “A method for chorioretinal oxygen tension measurement,” Curr. Eye Res. 31(4), 357–366 (2006).
[Crossref] [PubMed]

Shonat, R.

M. Shahidi, A. Shakoor, N. P. Blair, M. Mori, and R. Shonat, “A method for chorioretinal oxygen tension measurement,” Curr. Eye Res. 31(4), 357–366 (2006).
[Crossref] [PubMed]

Sinclair, S. H.

J. E. Grunwald, C. E. Riva, S. H. Sinclair, A. J. Brucker, and B. L. Petrig, “Laser Doppler velocimetry study of retinal circulation in diabetes mellitus,” Arch. Ophthalmol. 104(7), 991–996 (1986).
[PubMed]

Stefansson, E.

E. Stefansson, “Oxygen and diabetic eye disease,” Graefes Arch. Clin. Exp. Ophthalmol. 228(2), 120–123 (1990).
[Crossref] [PubMed]

Su, E. N.

D. Y. Yu, S. J. Cringle, P. K. Yu, and E. N. Su, “Intraretinal oxygen distribution and consumption during retinal artery occlusion and graded hyperoxic ventilation in the rat,” Invest. Ophthalmol. Vis. Sci. 48(5), 2290–2296 (2007).
[Crossref] [PubMed]

S. J. Cringle, D. Y. Yu, P. K. Yu, and E. N. Su, “Intraretinal oxygen consumption in the rat in vivo,” Invest. Ophthalmol. Vis. Sci. 43(6), 1922–1927 (2002).
[PubMed]

D. Y. Yu, S. J. Cringle, V. A. Alder, and E. N. Su, “Intraretinal oxygen distribution in rats as a function of systemic blood pressure,” Am. J. Physiol. 267(6 Pt 2), H2498–H2507 (1994).
[PubMed]

Szkulmowska, A.

Szkulmowski, M.

Szlag, D.

Tadayoni, R.

R. Tadayoni, M. Paques, A. Gaudric, and E. Vicaut, “Erythrocyte and leukocyte dynamics in the retinal capillaries of diabetic mice,” Exp. Eye Res. 77(4), 497–504 (2003).
[Crossref] [PubMed]

Takasu, M.

S. Yoneya, T. Saito, Y. Nishiyama, T. Deguchi, M. Takasu, T. Gil, and E. Horn, “Retinal oxygen saturation levels in patients with central retinal vein occlusion,” Ophthalmology 109(8), 1521–1526 (2002).
[Crossref] [PubMed]

Tan, O.

Y. Wang, A. Lu, J. Gil-Flamer, O. Tan, J. A. Izatt, and D. Huang, “Measurement of total blood flow in the normal human retina using Doppler Fourier-domain optical coherence tomography,” Br. J. Ophthalmol. 93(5), 634–637 (2009).
[Crossref] [PubMed]

Taomoto, M.

S. D. Wajer, M. Taomoto, D. S. McLeod, R. L. McCally, H. Nishiwaki, M. E. Fabry, R. L. Nagel, and G. A. Lutty, “Velocity measurements of normal and sickle red blood cells in the rat retinal and choroidal vasculatures,” Microvasc. Res. 60(3), 281–293 (2000).
[Crossref] [PubMed]

Törnquist, P.

L. Wang, P. Törnquist, and A. Bill, “Glucose metabolism of the inner retina in pigs in darkness and light,” Acta Physiol. Scand. 160(1), 71–74 (1997).
[PubMed]

P. Törnquist and A. Alm, “Retinal and choroidal contribution to retinal metabolism in vivo. A study in pigs,” Acta Physiol. Scand. 106(3), 351–357 (1979).
[Crossref] [PubMed]

Tummala, S.

K. Lorentz, A. Zayas-Santiago, S. Tummala, and J. J. Kang Derwent, “Scanning laser ophthalmoscope-particle tracking method to assess blood velocity during hypoxia and hyperoxia,” Adv. Exp. Med. Biol. 614, 253–261 (2008).
[Crossref] [PubMed]

Vicaut, E.

R. Tadayoni, M. Paques, A. Gaudric, and E. Vicaut, “Erythrocyte and leukocyte dynamics in the retinal capillaries of diabetic mice,” Exp. Eye Res. 77(4), 497–504 (2003).
[Crossref] [PubMed]

Wajer, S. D.

S. D. Wajer, M. Taomoto, D. S. McLeod, R. L. McCally, H. Nishiwaki, M. E. Fabry, R. L. Nagel, and G. A. Lutty, “Velocity measurements of normal and sickle red blood cells in the rat retinal and choroidal vasculatures,” Microvasc. Res. 60(3), 281–293 (2000).
[Crossref] [PubMed]

Wanek, J.

M. Shahidi, J. Wanek, B. Gaynes, and T. Wu, “Quantitative assessment of conjunctival microvascular circulation of the human eye,” Microvasc. Res. 79(2), 109–113 (2010).
[Crossref] [PubMed]

M. Shahidi, J. Wanek, N. P. Blair, and M. Mori, “Three-dimensional mapping of chorioretinal vascular oxygen tension in the rat,” Invest. Ophthalmol. Vis. Sci. 50(2), 820–825 (2009).
[Crossref] [PubMed]

Wang, J.

Wang, L.

L. Wang, C. Grant, B. Fortune, and G. A. Cioffi, “Retinal and choroidal vasoreactivity to altered PaCO2 in rat measured with a modified microsphere technique,” Exp. Eye Res. 86(6), 908–913 (2008).
[Crossref] [PubMed]

L. Wang, P. Törnquist, and A. Bill, “Glucose metabolism of the inner retina in pigs in darkness and light,” Acta Physiol. Scand. 160(1), 71–74 (1997).
[PubMed]

Wang, Y.

Y. Wang, A. Lu, J. Gil-Flamer, O. Tan, J. A. Izatt, and D. Huang, “Measurement of total blood flow in the normal human retina using Doppler Fourier-domain optical coherence tomography,” Br. J. Ophthalmol. 93(5), 634–637 (2009).
[Crossref] [PubMed]

Watanabe, Y.

K. Yamakawa, I. A. Bhutto, Z. Lu, Y. Watanabe, and T. Amemiya, “Retinal vascular changes in rats with inherited hypercholesterolemia—corrosion cast demonstration,” Curr. Eye Res. 22(4), 258–265 (2001).
[Crossref] [PubMed]

Wehrli, F. W.

V. Jain, M. C. Langham, and F. W. Wehrli, “MRI estimation of global brain oxygen consumption rate,” J. Cereb. Blood Flow Metab. 30(9), 1598–1607 (2010).
[Crossref] [PubMed]

Wei, Q.

Weiter, J. J.

J. Sebag, F. C. Delori, G. T. Feke, and J. J. Weiter, “Effects of optic atrophy on retinal blood flow and oxygen saturation in humans,” Arch. Ophthalmol. 107(2), 222–226 (1989).
[PubMed]

Wojtkowski, M.

Wright, W. S.

W. S. Wright, J. E. Messina, and N. R. Harris, “Attenuation of diabetes-induced retinal vasoconstriction by a thromboxane receptor antagonist,” Exp. Eye Res. 88(1), 106–112 (2009).
[Crossref] [PubMed]

Wu, T.

M. Shahidi, J. Wanek, B. Gaynes, and T. Wu, “Quantitative assessment of conjunctival microvascular circulation of the human eye,” Microvasc. Res. 79(2), 109–113 (2010).
[Crossref] [PubMed]

Yamakawa, K.

K. Yamakawa, I. A. Bhutto, Z. Lu, Y. Watanabe, and T. Amemiya, “Retinal vascular changes in rats with inherited hypercholesterolemia—corrosion cast demonstration,” Curr. Eye Res. 22(4), 258–265 (2001).
[Crossref] [PubMed]

Yoneya, S.

S. Yoneya, T. Saito, Y. Nishiyama, T. Deguchi, M. Takasu, T. Gil, and E. Horn, “Retinal oxygen saturation levels in patients with central retinal vein occlusion,” Ophthalmology 109(8), 1521–1526 (2002).
[Crossref] [PubMed]

Yu, D. Y.

D. Y. Yu, S. J. Cringle, P. K. Yu, and E. N. Su, “Intraretinal oxygen distribution and consumption during retinal artery occlusion and graded hyperoxic ventilation in the rat,” Invest. Ophthalmol. Vis. Sci. 48(5), 2290–2296 (2007).
[Crossref] [PubMed]

S. J. Cringle, D. Y. Yu, P. K. Yu, and E. N. Su, “Intraretinal oxygen consumption in the rat in vivo,” Invest. Ophthalmol. Vis. Sci. 43(6), 1922–1927 (2002).
[PubMed]

D. Y. Yu, S. J. Cringle, V. A. Alder, and E. N. Su, “Intraretinal oxygen distribution in rats as a function of systemic blood pressure,” Am. J. Physiol. 267(6 Pt 2), H2498–H2507 (1994).
[PubMed]

Yu, P. K.

D. Y. Yu, S. J. Cringle, P. K. Yu, and E. N. Su, “Intraretinal oxygen distribution and consumption during retinal artery occlusion and graded hyperoxic ventilation in the rat,” Invest. Ophthalmol. Vis. Sci. 48(5), 2290–2296 (2007).
[Crossref] [PubMed]

S. J. Cringle, D. Y. Yu, P. K. Yu, and E. N. Su, “Intraretinal oxygen consumption in the rat in vivo,” Invest. Ophthalmol. Vis. Sci. 43(6), 1922–1927 (2002).
[PubMed]

Zayas-Santiago, A.

K. Lorentz, A. Zayas-Santiago, S. Tummala, and J. J. Kang Derwent, “Scanning laser ophthalmoscope-particle tracking method to assess blood velocity during hypoxia and hyperoxia,” Adv. Exp. Med. Biol. 614, 253–261 (2008).
[Crossref] [PubMed]

Zhang, H. F.

Zhang, W.

W. Zhang, Y. Ito, E. Berlin, R. Roberts, and B. A. Berkowitz, “Role of hypoxia during normal retinal vessel development and in experimental retinopathy of prematurity,” Invest. Ophthalmol. Vis. Sci. 44(7), 3119–3123 (2003).
[Crossref] [PubMed]

Zhang, Y.

Y. Zhang, Q. Peng, J. W. Kiel, C. A. Rosende, and T. Q. Duong, “Magnetic resonance imaging of vascular oxygenation changes during hyperoxia and carbogen challenges in the human retina,” Invest. Ophthalmol. Vis. Sci. 52(1), 286–291 (2011).
[Crossref] [PubMed]

Acta Physiol. Scand. (2)

P. Törnquist and A. Alm, “Retinal and choroidal contribution to retinal metabolism in vivo. A study in pigs,” Acta Physiol. Scand. 106(3), 351–357 (1979).
[Crossref] [PubMed]

L. Wang, P. Törnquist, and A. Bill, “Glucose metabolism of the inner retina in pigs in darkness and light,” Acta Physiol. Scand. 160(1), 71–74 (1997).
[PubMed]

Adv. Exp. Med. Biol. (1)

K. Lorentz, A. Zayas-Santiago, S. Tummala, and J. J. Kang Derwent, “Scanning laser ophthalmoscope-particle tracking method to assess blood velocity during hypoxia and hyperoxia,” Adv. Exp. Med. Biol. 614, 253–261 (2008).
[Crossref] [PubMed]

Am. J. Physiol. (1)

D. Y. Yu, S. J. Cringle, V. A. Alder, and E. N. Su, “Intraretinal oxygen distribution in rats as a function of systemic blood pressure,” Am. J. Physiol. 267(6 Pt 2), H2498–H2507 (1994).
[PubMed]

Arch. Ophthalmol. (2)

J. E. Grunwald, C. E. Riva, S. H. Sinclair, A. J. Brucker, and B. L. Petrig, “Laser Doppler velocimetry study of retinal circulation in diabetes mellitus,” Arch. Ophthalmol. 104(7), 991–996 (1986).
[PubMed]

J. Sebag, F. C. Delori, G. T. Feke, and J. J. Weiter, “Effects of optic atrophy on retinal blood flow and oxygen saturation in humans,” Arch. Ophthalmol. 107(2), 222–226 (1989).
[PubMed]

Biomed. Opt. Express (1)

Br. J. Ophthalmol. (1)

Y. Wang, A. Lu, J. Gil-Flamer, O. Tan, J. A. Izatt, and D. Huang, “Measurement of total blood flow in the normal human retina using Doppler Fourier-domain optical coherence tomography,” Br. J. Ophthalmol. 93(5), 634–637 (2009).
[Crossref] [PubMed]

Comp. Biochem. Physiol. Comp. Physiol. (1)

C. F. Cartheuser, “Standard and pH-affected hemoglobin-O2 binding curves of Sprague-Dawley rats under normal and shifted P50 conditions,” Comp. Biochem. Physiol. Comp. Physiol. 106(4), 775–782 (1993).
[Crossref] [PubMed]

Curr. Eye Res. (2)

K. Yamakawa, I. A. Bhutto, Z. Lu, Y. Watanabe, and T. Amemiya, “Retinal vascular changes in rats with inherited hypercholesterolemia—corrosion cast demonstration,” Curr. Eye Res. 22(4), 258–265 (2001).
[Crossref] [PubMed]

M. Shahidi, A. Shakoor, N. P. Blair, M. Mori, and R. Shonat, “A method for chorioretinal oxygen tension measurement,” Curr. Eye Res. 31(4), 357–366 (2006).
[Crossref] [PubMed]

Exp. Eye Res. (4)

J. Brotherton, “Studies on the metabolism of the rat retina with special reference to retinitis pigmentosa. I. Anaerobic glycolysis,” Exp. Eye Res. 1(3), 234–245 (1962).
[Crossref] [PubMed]

R. Tadayoni, M. Paques, A. Gaudric, and E. Vicaut, “Erythrocyte and leukocyte dynamics in the retinal capillaries of diabetic mice,” Exp. Eye Res. 77(4), 497–504 (2003).
[Crossref] [PubMed]

W. S. Wright, J. E. Messina, and N. R. Harris, “Attenuation of diabetes-induced retinal vasoconstriction by a thromboxane receptor antagonist,” Exp. Eye Res. 88(1), 106–112 (2009).
[Crossref] [PubMed]

L. Wang, C. Grant, B. Fortune, and G. A. Cioffi, “Retinal and choroidal vasoreactivity to altered PaCO2 in rat measured with a modified microsphere technique,” Exp. Eye Res. 86(6), 908–913 (2008).
[Crossref] [PubMed]

Graefes Arch. Clin. Exp. Ophthalmol. (2)

M. H. Cuypers, J. S. Kasanardjo, and B. C. Polak, “Retinal blood flow changes in diabetic retinopathy measured with the Heidelberg scanning laser Doppler flowmeter,” Graefes Arch. Clin. Exp. Ophthalmol. 238(12), 935–941 (2000).
[Crossref] [PubMed]

E. Stefansson, “Oxygen and diabetic eye disease,” Graefes Arch. Clin. Exp. Ophthalmol. 228(2), 120–123 (1990).
[Crossref] [PubMed]

Invest. Ophthalmol. Vis. Sci. (8)

S. J. Cringle, D. Y. Yu, P. K. Yu, and E. N. Su, “Intraretinal oxygen consumption in the rat in vivo,” Invest. Ophthalmol. Vis. Sci. 43(6), 1922–1927 (2002).
[PubMed]

V. A. Alder, J. Ben-Nun, and S. J. Cringle, “PO2 profiles and oxygen consumption in cat retina with an occluded retinal circulation,” Invest. Ophthalmol. Vis. Sci. 31(6), 1029–1034 (1990).
[PubMed]

R. D. Braun, R. A. Linsenmeier, and T. K. Goldstick, “Oxygen consumption in the inner and outer retina of the cat,” Invest. Ophthalmol. Vis. Sci. 36(3), 542–554 (1995).
[PubMed]

D. Y. Yu, S. J. Cringle, P. K. Yu, and E. N. Su, “Intraretinal oxygen distribution and consumption during retinal artery occlusion and graded hyperoxic ventilation in the rat,” Invest. Ophthalmol. Vis. Sci. 48(5), 2290–2296 (2007).
[Crossref] [PubMed]

W. Zhang, Y. Ito, E. Berlin, R. Roberts, and B. A. Berkowitz, “Role of hypoxia during normal retinal vessel development and in experimental retinopathy of prematurity,” Invest. Ophthalmol. Vis. Sci. 44(7), 3119–3123 (2003).
[Crossref] [PubMed]

Y. Zhang, Q. Peng, J. W. Kiel, C. A. Rosende, and T. Q. Duong, “Magnetic resonance imaging of vascular oxygenation changes during hyperoxia and carbogen challenges in the human retina,” Invest. Ophthalmol. Vis. Sci. 52(1), 286–291 (2011).
[Crossref] [PubMed]

H. Nishiwaki, Y. Ogura, H. Kimura, J. Kiryu, K. Miyamoto, and N. Matsuda, “Visualization and quantitative analysis of leukocyte dynamics in retinal microcirculation of rats,” Invest. Ophthalmol. Vis. Sci. 37(7), 1341–1347 (1996).
[PubMed]

M. Shahidi, J. Wanek, N. P. Blair, and M. Mori, “Three-dimensional mapping of chorioretinal vascular oxygen tension in the rat,” Invest. Ophthalmol. Vis. Sci. 50(2), 820–825 (2009).
[Crossref] [PubMed]

J. Cereb. Blood Flow Metab. (1)

V. Jain, M. C. Langham, and F. W. Wehrli, “MRI estimation of global brain oxygen consumption rate,” J. Cereb. Blood Flow Metab. 30(9), 1598–1607 (2010).
[Crossref] [PubMed]

Microvasc. Res. (2)

S. D. Wajer, M. Taomoto, D. S. McLeod, R. L. McCally, H. Nishiwaki, M. E. Fabry, R. L. Nagel, and G. A. Lutty, “Velocity measurements of normal and sickle red blood cells in the rat retinal and choroidal vasculatures,” Microvasc. Res. 60(3), 281–293 (2000).
[Crossref] [PubMed]

M. Shahidi, J. Wanek, B. Gaynes, and T. Wu, “Quantitative assessment of conjunctival microvascular circulation of the human eye,” Microvasc. Res. 79(2), 109–113 (2010).
[Crossref] [PubMed]

Mol. Vis. (1)

M. Mozaffarieh, M. C. Grieshaber, and J. Flammer, “Oxygen and blood flow: players in the pathogenesis of glaucoma,” Mol. Vis. 14, 224–233 (2008).
[PubMed]

Ophthalmology (1)

S. Yoneya, T. Saito, Y. Nishiyama, T. Deguchi, M. Takasu, T. Gil, and E. Horn, “Retinal oxygen saturation levels in patients with central retinal vein occlusion,” Ophthalmology 109(8), 1521–1526 (2002).
[Crossref] [PubMed]

Opt. Express (1)

Vision Res. (1)

Y. Ito and B. A. Berkowitz, “MR studies of retinal oxygenation,” Vision Res. 41(10-11), 1307–1311 (2001).
[Crossref] [PubMed]

Other (4)

R. M. Berne and M. N. Levy, Physiology, 2nd ed. (Mosby, St. Louis, MO, 1988).

S. L. Meyer, in Data Analysis for Scientists and Engineers (Wiley, New York, 1975), pp. 39–48.

B. A. Shapiro, W. T. Perruzi, and R. Kozelowski-Templin, in Clinical Application of Blood Gases (Mosby-Year Book, Inc, St. Louis, 1994), pp. 33–53.

J. B. West, Pulmonary Physiology and Pathophysiology: an Integrated, Case-Based Approach, 2nd ed. (Lippincott Williams & Wilkins, Philadelphia, PA, 2007).

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Figures (2)

Fig. 1
Fig. 1 (a) Retinal image with major arteries and veins labeled (a and v); the outlined edges of a vein (v3) were identified by multiple diameter measurements; (b) Red crosses overlaid on the retinal image indicate the positions of a microsphere traversing a vein (v3), visualized over 8 consecutive images; (c) A cross-sectional vascular PO2 map (rectangle) overlaid on the retinal image, depicting values in veins (v1, v2, v3) and arteries (a2, a3). Color bar displays PO2 in mmHg.
Fig. 2
Fig. 2 (a) Fluorescein angiogram with draining retinal venules labeled; edges of a venule (v1) are outlined; (b) Red crosses overlaid on the retinal image indicate the positions of a microsphere traversing a venule (v1) and major vein, visualized over 8 consecutive images; (c) An enface PO2 map depicting values in a segmented major retinal artery, vein, and venules. Color bar displays PO2 in mmHg.

Tables (2)

Tables Icon

Table 1 Vessel diameter, blood velocity, and blood flow in major retinal veins; PO2 and O2 content in major retinal veins and averaged over major retinal arteries (mean ± SD) in one rat

Tables Icon

Table 2 Vessel diameter, blood velocity, and flow in retinal venules; PO2 and O2 content in retinal venules and a major retinal artery in one rat

Equations (1)

Equations on this page are rendered with MathJax. Learn more.

M O 2 = i = 1 n F v i ( O 2 a O 2 v i )

Metrics