Robust Quantitative Phase Imaging Cytometry with Transfer Learning

Michelle C.K. Lo; Shobana V. Stassen; Dickson M.D. Siu; Kevin K. Tsia

doi:10.1364/MICROSCOPY.2020.MTu2A.3

Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN)
OSA Technical Digest (Optica Publishing Group, 2020),
paper MTu2A.3
•https://doi.org/10.1364/MICROSCOPY.2020.MTu2A.3

Robust Quantitative Phase Imaging Cytometry with Transfer Learning

Michelle C.K. Lo, Shobana V. Stassen, Dickson M.D. Siu, and Kevin K. Tsia

Microscopy Histopathology and Analytics 2020

Washington, DC United States
20–23 April 2020
ISBN: 978-1-943580-74-3

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Machine Learning II (MTu2A)

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M. C. K. Lo, S. V. Stassen, D. M. D. Siu, and K. K. Tsia, "Robust Quantitative Phase Imaging Cytometry with Transfer Learning," in Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN), OSA Technical Digest (Optica Publishing Group, 2020), paper MTu2A.3.

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Abstract

We present high-throughput quantitative phase imaging cytometry (>10,000 cells/sec) assisted by neural-networked-based transfer learning that critically overcomes the batch effects and enables accurate label-free multi-class lung cancer types classification at single-cell precision (>91%).

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