Label-free imaging of collagen fibers in tissue slices using phase imaging with computational specificity (PICS)

Masayoshi Sakakura; Sohelia Borhani; Virgilia Macias M.D.; Andre Kajdacsy-Balla; Gabriel Popescu

doi:10.1117/12.2616616

2 March 2022 Label-free imaging of collagen fibers in tissue slices using phase imaging with computational specificity (PICS)

Masayoshi Sakakura, Sohelia Borhani, Virgilia Macias M.D., Andre Kajdacsy-Balla, Gabriel Popescu

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Proceedings Volume PC11970, Quantitative Phase Imaging VIII; PC119700N (2022) https://doi.org/10.1117/12.2616616
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Collagen orientation is one of the major indicators of cancer tumor aggressiveness and can be evaluated via tumor-associated collagen signature-3 (TACS-3). Quantitative phase imaging (QPI) is a rising imaging field in which the map associated with the optical pathlength through different regions of biological specimens are determined. Here we present the application of phase imaging with computational specificity (PICS) to image unlabeled collagen. Thus, we combine spatial light interference microscopy (SLIM), a highly sensitive QPI method, with an image-to-image deep neural network to extract phase-resolved collagen features from the input SLIM captures of histology tissue samples.

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Masayoshi Sakakura, Sohelia Borhani, Virgilia Macias M.D., Andre Kajdacsy-Balla, and Gabriel Popescu "Label-free imaging of collagen fibers in tissue slices using phase imaging with computational specificity (PICS)", Proc. SPIE PC11970, Quantitative Phase Imaging VIII, PC119700N (2 March 2022); https://doi.org/10.1117/12.2616616

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