Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/106118
Title: Partially coherent phase imaging with source shapes estimation
Authors: Zhong, Jingshan
Tian, Lei
Dauwels, Justin
Waller, Laura
Keywords: DRNTU::Science::Mathematics::Geometry
Issue Date: 2015
Source: Zhong, J., Tian, L., Dauwels, J., & Waller, L. (2015). Partially coherent phase imaging with source shapes estimation. Proceedings of SPIE - Quantitative Phase Imaging, 9336, 93360O-.
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.
URI: https://hdl.handle.net/10356/106118
http://hdl.handle.net/10220/26292
DOI: 10.1117/12.2078229
Rights: © 2015 Society of Photo-optical Instrumentation Engineers (SPIE). This paper was published in Proceedings of SPIE - Quantitative Phase Imaging and is made available as an electronic reprint (preprint) with permission of Society of Photo-optical Instrumentation Engineers (SPIE). The published version is available at: [http://dx.doi.org/10.1117/12.2078229]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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