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Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
Published on: July 5, 2016
Automatic phase aberration compensation in digital holographic microscopy based on adaptive-threshold M-estimator
Optics Express
|August 14, 2026
Summary
We developed a new method for digital holographic microscopy to accurately compensate for phase aberrations. This technique improves phase measurement accuracy by effectively separating sample details from background noise.
Area of Science:
- Optics and Photonics
- Microscopy Techniques
- Image Processing
Background:
- Optical-system-induced phase aberrations are a significant challenge in digital holographic microscopy, impacting phase measurement accuracy.
- Accurate phase measurement is crucial for quantitative analysis of microscopic samples.
Purpose of the Study:
- To propose and validate an accurate phase-aberration compensation method for digital holographic microscopy.
- To improve the separation of sample morphology from background phase information.
Main Methods:
- Utilized M-estimator sample consensus for robust background phase classification.
- Introduced field-of-view and noise thresholds to manage edge aberrations and optical noise.
- Validated the method through simulations and experimental holographic microscopy data.
Main Results:
- The proposed method effectively classifies background phase, even with strong aberrations.
- Improved classification accuracy was achieved by handling field-of-view edges and optical noise.
- Demonstrated superior phase reconstruction accuracy compared to conventional dual fitting and curve fitting segmentation methods.
Conclusions:
- The developed method offers accurate phase-aberration compensation in digital holographic microscopy.
- It enhances the ability to distinguish sample morphology from background phase.
- This leads to more precise phase reconstruction for microscopic imaging applications.
