Volumetric label-free histopathology using optical diffraction tomography

Herve Hugonnet; Ariel J. Lee; Yeon Wook Kim; Moosung Lee; Seungwoo Shin; Ralph H. Hruban; Seung-Mo Hong; YongKeun Park

doi:10.1364/AIS.2021.JW1A.6

OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)
OSA Technical Digest (Optica Publishing Group, 2021),
paper JW1A.6
•https://doi.org/10.1364/AIS.2021.JW1A.6

Volumetric label-free histopathology using optical diffraction tomography

Herve Hugonnet, Ariel J. Lee, Yeon Wook Kim, Moosung Lee, Seungwoo Shin, Ralph H. Hruban, Seung-Mo Hong, and YongKeun Park

Optics and Photonics for Sensing the Environment 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-90-3

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Joint Postdeadline Papers II (JW1A)

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H. Hugonnet, A. J. Lee, Y. W. Kim, M. Lee, S. Shin, R. H. Hruban, S. Hong, and Y. Park, "Volumetric label-free histopathology using optical diffraction tomography," in OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES), S. Buckley, F. Vanier, S. Shi, K. Walker, I. Coddington, S. Paine, K. Lok Chan, W. Moses, S. Qian, P. Pellegrino, F. Vollmer, G. , J. Jágerská, R. Menzies, L. Emmenegger, and J. Westberg, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper JW1A.6.

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Abstract

We realized multiscale label-free volumetric histopathology of thick-tissue slides. The present method exploits label-free volumetric reconstruction of intrinsic refractive index distributions in tissues, and numerical algorithms for seamless stitching and reduction of scattering-induced image distortion.

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