Multi-excitation, Multi-emission Autofluorescence Imaging (AFI) for the In Vivo Identification of at Risk Cervical Tissue

Calum MacAulay; Dennis Cox; Pierre Lane; E. Neely Atkinson; Jose-Miguel Yamal; Leonid Fradkin; Daniel Serachitopol; Sylvia Lam; Hamid Pahlevaninezhad; Anthony Lee; Rashika Raizada; Dianne Miller; Jessica McAlpine; Thomas Ehlen; Sarah Finlayson; Janice Kwon; Marette Lee; Christina Gutierrez; Zuber Mulla; Colin Schlosser; Kayla Castaneda; Felipe Castaneda; Michele Follen

doi:10.1364/CANCER.2016.JTh3A.3

Biomedical Optics 2016
OSA Technical Digest (online) (Optica Publishing Group, 2016),
paper JTh3A.3
•https://doi.org/10.1364/CANCER.2016.JTh3A.3

Multi-excitation, Multi-emission Autofluorescence Imaging (AFI) for the In Vivo Identification of at Risk Cervical Tissue

Calum MacAulay, Dennis Cox, Pierre Lane, E. Neely Atkinson, Jose-Miguel Yamal, Leonid Fradkin, Daniel Serachitopol, Sylvia Lam, Hamid Pahlevaninezhad, Anthony Lee, Rashika Raizada, Dianne Miller, Jessica McAlpine, Thomas Ehlen, Sarah Finlayson, Janice Kwon, Marette Lee, Christina Gutierrez, Zuber Mulla, Colin Schlosser, Kayla Castaneda, Felipe Castaneda, and Michele Follen

Optical Tomography and Spectroscopy 2016

Fort Lauderdale, Florida United States
25–28 April 2016
ISBN: 978-1-943580-10-1

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Cancer Surgical Monitoring and Guidance (Joint OTS/Cancer) (JTh3A)

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C. MacAulay, D. Cox, P. Lane, E. N. Atkinson, J. Yamal, L. Fradkin, D. Serachitopol, S. Lam, H. Pahlevaninezhad, A. Lee, R. Raizada, D. Miller, J. McAlpine, T. Ehlen, S. Finlayson, J. Kwon, M. Lee, C. Gutierrez, Z. Mulla, C. Schlosser, K. Castaneda, F. Castaneda, and M. Follen, "Multi-excitation, Multi-emission Autofluorescence Imaging (AFI) for the In Vivo Identification of at Risk Cervical Tissue," in Biomedical Optics 2016, OSA Technical Digest (online) (Optica Publishing Group, 2016), paper JTh3A.3.

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Abstract

In the cervix in vivo multi-excitation multi-emission (AFI) data can have high sensitivity (~90% ) but specificity is affected by confounding tissue structures. OCT-AFI combined imaging has potential to identify these confounding structures.

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