Partially coherent phase imaging with source shapes estimation

Jingshan Zhong; Lei Tian; Justin Dauwels; Laura Waller

doi:10.1117/12.2078229

11 March 2015 Partially coherent phase imaging with source shapes estimation

Jingshan Zhong, Lei Tian, Justin Dauwels, Laura Waller

Proceedings Volume 9336, Quantitative Phase Imaging; 93360O (2015) https://doi.org/10.1117/12.2078229
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

We propose a method to recover quantitative phase from a stack of defocused intensity images illuminated with partially coherent light from a source of arbitrary shape in Köhler geometry. The algorithm uses a sparse Kalman filtering approach which is fast, accurate, and robust to noise. The proposed method is able to recover not only the phase, but also the source shape, which defines the spatial coherence of the illumination. We validate our algorithm experimentally in a commercial microscope with biological samples.

Citation Download Citation

Jingshan Zhong, Lei Tian, Justin Dauwels, and Laura Waller "Partially coherent phase imaging with source shapes estimation", Proc. SPIE 9336, Quantitative Phase Imaging, 93360O (11 March 2015); https://doi.org/10.1117/12.2078229

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