Quantitative phase imaging using diffractive optical networks (Conference Presentation)

Deniz Mengu; Aydogan Ozcan

doi:10.1117/12.2633258

4 October 2022 Quantitative phase imaging using diffractive optical networks (Conference Presentation)

Deniz Mengu, Aydogan Ozcan

Proceedings Volume PC12204, Emerging Topics in Artificial Intelligence (ETAI) 2022; PC122040J (2022) https://doi.org/10.1117/12.2633258
Event: SPIE Nanoscience + Engineering, 2022, San Diego, California, United States

Abstract

Quantitative phase imaging (QPI) has emerged as a powerful, label-free tool for revealing specimens' optical path length information. We demonstrate diffractive QPI networks that all-optically synthesize the quantitative phase image of an object by converting the optical path length variations at the input into spatial intensity distributions at the output plane. These diffractive QPI networks are spatially-engineered using deep learning to form all-optical coherent processors, and can enable power-efficient, high frame-rate and compact quantitative phase imaging systems that will be useful for various applications, including, e.g., on-chip microscopy and sensing.

Conference Presentation

Citation Download Citation

Deniz Mengu and Aydogan Ozcan "Quantitative phase imaging using diffractive optical networks (Conference Presentation)", Proc. SPIE PC12204, Emerging Topics in Artificial Intelligence (ETAI) 2022, PC122040J (4 October 2022); https://doi.org/10.1117/12.2633258

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