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Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
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Aberration-free digital holographic phase imaging using the derivative-based principal component analysis.
Xiaomin Lai1, Sheng Xiao2, Chen Xu1
1Hangzhou Dianzi University, School of Automation and Artificial Intelligence, Hangzhou, China.
Journal of Biomedical Optics
|April 11, 2021
Summary
This study introduces derivative-based principal component analysis (dPCA) for aberration-free phase imaging in digital holographic microscopy. The novel dPCA method efficiently compensates for complex aberrations, improving quantitative phase information retrieval from transparent cells.
Area of Science:
- Optical microscopy
- Biophysics
- Image processing
Background:
- Digital holographic microscopy (DHM) enables quantitative phase imaging of transparent biological samples.
- Phase information in DHM is often corrupted by aberrations, necessitating accurate compensation for reliable analysis.
Purpose of the Study:
- To develop an advanced technique for aberration-free phase imaging in DHM.
- To overcome limitations of conventional methods in compensating for complex aberrations.
Main Methods:
- Implementation of derivative-based principal component analysis (dPCA) for phase aberration correction.
- Utilizing dPCA to extract and compensate for aberrations without background segmentation.
Main Results:
- Achieved efficient and convenient compensation of nearly all sample-induced aberrations.
- Demonstrated superior performance over conventional principal component analysis (PCA) in handling higher-order cross-term aberrations like astigmatism and coma.
Conclusions:
- The proposed dPCA technique provides aberration-free phase imaging, enhancing the accuracy of quantitative phase information.
- dPCA offers a versatile approach applicable beyond aberration compensation, including other complex cross-term analyses where PCA falls short.
