Literature DB >> 23938924

Phase aberration compensation in digital holographic microscopy based on principal component analysis.

Chao Zuo1, Qian Chen, Weijuan Qu, Anand Asundi.   

Abstract

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.

Year:  2013        PMID: 23938924     DOI: 10.1364/OL.38.001724

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  3 in total

1.  Quantitative scoring of epithelial and mesenchymal qualities of cancer cells using machine learning and quantitative phase imaging.

Authors:  Van Lam; Thanh Nguyen; Vy Bui; Byung Min Chung; Lin-Ching Chang; George Nehmetallah; Christopher Raub
Journal:  J Biomed Opt       Date:  2020-02       Impact factor: 3.170

2.  Common-path multimodal three-dimensional fluorescence and phase imaging system.

Authors:  Manoj Kumar; Xiangyu Quan; Yasuhiro Awatsuji; Chaoyang Cheng; Mitsuyasu Hasebe; Yosuke Tamada; Osamu Matoba
Journal:  J Biomed Opt       Date:  2020-02       Impact factor: 3.170

3.  Highly temporal stable, wavelength-independent, and scalable field-of-view common-path quantitative phase microscope.

Authors:  Azeem Ahmad; Vishesh Dubey; Ankit Butola; Balpreet Singh Ahluwalia; Dalip Singh Mehta
Journal:  J Biomed Opt       Date:  2020-11       Impact factor: 3.170

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.