Conferring biochemical specificity on quantitative phase imaging

YoungJu Jo

doi:10.1117/12.2617440

2 March 2022 Conferring biochemical specificity on quantitative phase imaging

YoungJu Jo

Proceedings Volume PC11970, Quantitative Phase Imaging VIII; PC119700F (2022) https://doi.org/10.1117/12.2617440
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Despite the progress in QPI during the last decades, disseminating QPI to broader communities is still in its infancy. A critical limiting factor has been the limited biochemical specificity of QPI. We hypothesized that high-specificity information could be directly retrieved by incorporating the surrounding RI values in 3D space with aid from machine vision. Specifically, we trained deep convolutional networks to transform RI tomograms to the corresponding fluorescence tomograms. This approach achieved state-of-the-art prediction accuracy and generalization across cell types, which enabled applications to new samples without retraining. Together, QPI data do have substantial biochemical specificity that can be accessed.

Conference Presentation

Citation Download Citation

YoungJu Jo "Conferring biochemical specificity on quantitative phase imaging", Proc. SPIE PC11970, Quantitative Phase Imaging VIII, PC119700F (2 March 2022); https://doi.org/10.1117/12.2617440

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