Partially coherent phase imaging with source shapes estimation
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...
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sg-ntu-dr.10356-1061182019-12-06T22:04:53Z Partially coherent phase imaging with source shapes estimation Zhong, Jingshan Tian, Lei Dauwels, Justin Waller, Laura Popescu, Gabriel Park, YongKeun School of Electrical and Electronic Engineering Proceedings of SPIE - Quantitative Phase Imaging DRNTU::Science::Mathematics::Geometry 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. Published version 2015-07-07T01:57:10Z 2019-12-06T22:04:53Z 2015-07-07T01:57:10Z 2019-12-06T22:04:53Z 2015 2015 Conference Paper 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-. https://hdl.handle.net/10356/106118 http://hdl.handle.net/10220/26292 http://dx.doi.org/10.1117/12.2078229 en © 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. 6 p. application/pdf |
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DRNTU::Science::Mathematics::Geometry Zhong, Jingshan Tian, Lei Dauwels, Justin Waller, Laura Partially coherent phase imaging with source shapes estimation |
| description |
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. |
| author2 |
Popescu, Gabriel |
| author_facet |
Popescu, Gabriel Zhong, Jingshan Tian, Lei Dauwels, Justin Waller, Laura |
| format |
Conference or Workshop Item |
| author |
Zhong, Jingshan Tian, Lei Dauwels, Justin Waller, Laura |
| author_sort |
Zhong, Jingshan |
| title |
Partially coherent phase imaging with source shapes estimation |
| title_short |
Partially coherent phase imaging with source shapes estimation |
| title_full |
Partially coherent phase imaging with source shapes estimation |
| title_fullStr |
Partially coherent phase imaging with source shapes estimation |
| title_full_unstemmed |
Partially coherent phase imaging with source shapes estimation |
| title_sort |
partially coherent phase imaging with source shapes estimation |
| publishDate |
2015 |
| url |
https://hdl.handle.net/10356/106118 http://hdl.handle.net/10220/26292 http://dx.doi.org/10.1117/12.2078229 |
| _version_ |
1681036033547829248 |