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Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
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Enhanced spectral-domain phase microscopy for high-sensitivity and broad-range quantitative phase imaging via joint
Enhanced spectral-domain phase microscopy (SDPM) overcomes limitations in quantitative phase imaging. This new method provides high-precision, bias-free phase reconstruction for broader measurement ranges in biological and industrial applications.
Area of Science:
- Optical imaging
- Metrology
- Biophysics
Background:
- Spectral-domain phase microscopy (SDPM) offers high-sensitivity quantitative phase imaging.
- Conventional SDPM struggles with phase gradients and noise, limiting measurement range due to wrap mismatches and bias.
Purpose of the Study:
- To introduce enhanced SDPM (eSDPM), an algorithm-hardware co-calibration framework.
- To achieve high-precision, bias-free phase reconstruction over an extended measurement range.
Main Methods:
- Algorithmic improvements: explicit modeling of spectral phase endpoint terms, reference phase estimation, and wavenumber anchor determination.
- Hardware calibration: controlled spectral truncation and boundary-wavelength calibration to minimize bias and misalignment.
Main Results:
- eSDPM demonstrates continuous, bias-free optical path difference reconstruction.
- High accuracy is achieved across a broad measurement range for diverse samples.
Conclusions:
- eSDPM establishes a robust and practical approach for wide-range quantitative phase imaging.
- The co-calibration framework significantly enhances the reliability and applicability of SDPM.
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