Abstract
Pancreatic cancer is a common cancer with poor odds of survival for the patient, with surgical resection offering the only hope of cure. Current surgical practice is time-consuming and, due to time constraints, does not sample the whole cut surface sufficiently to check for remaining cancer. Although microscopy with hematoxylin and eosin (H&E) stain is the gold standard for microscopic evaluation, multiphoton microscopy (MPM) has emerged as an alternative tool for imaging tissue architecture and cellular morphology without labels. We explored the use of multimodal MPM for the label-free identification of normal and cancerous tissue of the pancreas in a mouse model by comparing the images to H&E microscopy. Our early studies indicate that MPM using second-harmonic generation, third-harmonic generation, and multiphoton excitation of endogenous fluorescent proteins can each contribute to the label-free analysis of the pancreatic surgical margin.
© 2020 Optical Society of America
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Thu Pham, Bhaskar Banerjee, Benjamin Cromey, Soroush Mehravar, Bethany Skovan, Hao Chen, and Khanh Kieu, "Feasibility of multimodal multiphoton microscopy to facilitate surgical margin assessment in pancreatic cancer: erratum," Appl. Opt. 59, 5437-5438 (2020)https://opg.optica.org/ao/abstract.cfm?uri=ao-59-18-5437
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