CNN-assisted quantitative phase microscopy for biological cell imaging

Igor Shevkunov; Meenakshisundaram Kandhavelu; Karen Egiazarian

doi:10.1117/12.2668352

9 August 2023 CNN-assisted quantitative phase microscopy for biological cell imaging

Igor Shevkunov, Meenakshisundaram Kandhavelu, Karen Egiazarian

Proceedings Volume 12630, Advances in Microscopic Imaging IV; 1263012 (2023) https://doi.org/10.1117/12.2668352
Event: European Conferences on Biomedical Optics, 2023, Munich, Germany

Abstract

Phase imaging is a solution for the reconstruction of phase information from intensity observations. To make phase imaging possible, sophisticated extra systems are embedded into the existing imaging systems. Contrary, we propose a phase problem solution by DCNN-based framework, which is simple in terms of an optical system. We propose to replace optical lenses with computational algorithms such as CNN phase reconstruction and wavefront propagation. The framework is tested in simulation and real-life experimental phase imaging. To have real experiments with objects close to real-life biological cells, we simulated experimental training datasets on a phase-only spatial light modulator, where phase objects are modeled with corresponding phase distribution to biological cells.

Citation Download Citation

Igor Shevkunov, Meenakshisundaram Kandhavelu, and Karen Egiazarian "CNN-assisted quantitative phase microscopy for biological cell imaging", Proc. SPIE 12630, Advances in Microscopic Imaging IV, 1263012 (9 August 2023); https://doi.org/10.1117/12.2668352

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