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Articles by Chenhao Ma
Adaptive phase aberration correction in off-axis digital holographic microscopy using distance-field-weighted Zernike fitting
This paper proposes a numerical method based on distance-field weighting and Zernike fitting for aberration correction in digital holographic microscopy (DHM) systems. The core method involves generating an adaptive weighting scheme from a distance field to guide Zernike polynomial fitting. This approach preserves the intrinsic sample phase in object regions, ensures smooth background transition, and achieves precise aberration correction while mitigating bias from sample phase contamination.
Design of a digital PCR optical detection system with multiple fluorescent microdroplets
Abstract The need for accurate nucleic acid testing is increasing with the spread of the global pandemic. Problems such as low efficiency and precision and large volume exist because the number of existing digital polymerase chain reaction (PCR) testing instrument channels is low. In order to solve these problems, a four channel micro drop digital PCR system was designed.
Deep learning surrogate model for kinetic Landau-fluid closure with collision
Compared with kinetic or gyrokinetic models, fluid or gyro-fluid models are adequate and much more cost-effective for turbulence and transport studies in certain parameter regimes.11. M. Francisquez, T. N. Bernard, B. Zhu, A. Hakim, B. N. Rogers, and G. W. Hammett, “Fluid & gyrokinetic turbulence in open field-line, helical plasmas,” arXiv:2002.11136 (2020). In principle, a fluid model consists of three parts: the moment equations, the field equations, and the closure.
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