Open Access
10 April 2021 Aberration-free digital holographic phase imaging using the derivative-based principal component analysis
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Abstract

Significance: Digital holographic microscopy is widely used to get the quantitative phase information of transparent cells.

Aim: However, the sample phase is superimposed with aberrations. To quantify the phase information, aberrations need to be fully compensated.

Approach: We propose a technique to obtain aberration-free phase imaging, using the derivative-based principal component analysis (dPCA).

Results: With dPCA, almost all aberrations can be extracted and compensated without requirements on background segmentation, making it efficient and convenient.

Conclusions: It solves the problem that the conventional principal component analysis (PCA) algorithm cannot compensate the common but intricate higher order cross-term aberrations, such as astigmatism and coma. Moreover, the dPCA strategy proposed here is not only suitable for aberration compensation but also applicable for other cases where there exist cross-terms that cannot be analyzed with the PCA algorithm.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Xiaomin Lai, Sheng Xiao, Chen Xu, Shanhui Fan, and Kaihua Wei "Aberration-free digital holographic phase imaging using the derivative-based principal component analysis," Journal of Biomedical Optics 26(4), 046501 (10 April 2021). https://doi.org/10.1117/1.JBO.26.4.046501
Received: 13 December 2020; Accepted: 22 March 2021; Published: 10 April 2021
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Principal component analysis

Digital holography

Phase imaging

Holography

Beam splitters

Microscopy

Spatial light modulators

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