Phase aberration compensation in digital holographic microscopy based on principal component analysis
We present an effective, fast, and straightforward phase aberration compensation method in digital holographic microscopy based on principal component analysis. The proposed method decomposes the phase map into a set of values of uncorrelated variables called principal components, and then extracts...
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sg-ntu-dr.10356-977882023-03-04T17:17:42Z Phase aberration compensation in digital holographic microscopy based on principal component analysis Qu, Weijuan Asundi, Anand Krishna Zuo, Chao Chen, Qian School of Mechanical and Aerospace Engineering We present an effective, fast, and straightforward phase aberration compensation method in digital holographic microscopy based on principal component analysis. The proposed method decomposes the phase map into a set of values of uncorrelated variables called principal components, and then extracts the aberration terms from the first principal component obtained. It is effective, fully automatic, and does not require any prior knowledge of the object and the setup. The great performance and limited computational complexity make our approach a very attractive and promising technique for compensating phase aberration in digital holography under time-critical environments. Published version 2013-07-18T04:40:16Z 2019-12-06T19:46:45Z 2013-07-18T04:40:16Z 2019-12-06T19:46:45Z 2013 2013 Journal Article Zuo, C., Chen, Q., Qu, W., & Asundi, A. K. (2013). Phase aberration compensation in digital holographic microscopy based on principal component analysis. Optics letters, 38(10), 1724-1726. https://hdl.handle.net/10356/97788 http://hdl.handle.net/10220/11865 10.1364/OL.38.001724 en Optics letters © 2013 Optical Society of America. This paper was published in Optics Letters and is made available as an electronic reprint (preprint) with permission of Optical Society of America. The paper can be found at the following official DOI: [http://dx.doi.org/10.1364/OL.38.001724]. 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. application/pdf |
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We present an effective, fast, and straightforward phase aberration compensation method in digital holographic microscopy based on principal component analysis. The proposed method decomposes the phase map into a set of values of uncorrelated variables called principal components, and then extracts the aberration terms from the first principal component obtained. It is effective, fully automatic, and does not require any prior knowledge of the object and the setup. The great performance and limited computational complexity make our approach a very attractive and promising technique for compensating phase aberration in digital holography under time-critical environments. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Qu, Weijuan Asundi, Anand Krishna Zuo, Chao Chen, Qian |
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Article |
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Qu, Weijuan Asundi, Anand Krishna Zuo, Chao Chen, Qian |
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Qu, Weijuan Asundi, Anand Krishna Zuo, Chao Chen, Qian Phase aberration compensation in digital holographic microscopy based on principal component analysis |
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Qu, Weijuan |
title |
Phase aberration compensation in digital holographic microscopy based on principal component analysis |
title_short |
Phase aberration compensation in digital holographic microscopy based on principal component analysis |
title_full |
Phase aberration compensation in digital holographic microscopy based on principal component analysis |
title_fullStr |
Phase aberration compensation in digital holographic microscopy based on principal component analysis |
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Phase aberration compensation in digital holographic microscopy based on principal component analysis |
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phase aberration compensation in digital holographic microscopy based on principal component analysis |
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2013 |
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https://hdl.handle.net/10356/97788 http://hdl.handle.net/10220/11865 |
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