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Proceedings Paper

Partially coherent phase imaging with source shapes estimation
Author(s): Jingshan Zhong; Lei Tian; Justin Dauwels; Laura Waller
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Paper 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.

Paper Details

Date Published: 11 March 2015
PDF: 6 pages
Proc. SPIE 9336, Quantitative Phase Imaging, 93360O (11 March 2015); doi: 10.1117/12.2078229
Show Author Affiliations
Jingshan Zhong, Nanyang Technological Univ. (Singapore)
Univ. of California, Berkeley (United States)
Lei Tian, Univ. of California, Berkeley (United States)
Justin Dauwels, Nanyang Technological Univ. (Singapore)
Laura Waller, Univ. of California, Berkeley (United States)

Published in SPIE Proceedings Vol. 9336:
Quantitative Phase Imaging
Gabriel Popescu; YongKeun Park, Editor(s)

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