Computational Adaptive Optics for Fluorescence Microscopy via Sparse Blind Deconvolution DOI
Runnan Zhang, Hao Du, Ning Zhou

et al.

Laser & Photonics Review, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Abstract Fluorescence microscopy is an indispensable tool for investigating cellular and tissue‐level biology, yet its performance often limited by optical diffraction, aberrations, noise, resulting in suboptimal imaging quality. Traditional adaptive optics (AO) methods typically rely on additional hardware, such as wavefront sensors, to measure correct system which can be both complex costly. Here, a computational technique based sparse blind deconvolution (CAO‐SBD) introduced, uses single blurred image estimate aberrations perform deblurring. By incorporating priors of fluorescent specimens with Zernike polynomial‐based aberration modeling, CAO‐SBD allows the simultaneous reconstruction aberrated point spread function (PSF) sample information, eliminating need precise PSF calibration. This method outperforms traditional Richardson‐Lucy enhancing robustness noise stabilizing process through correction. Experimental results bovine pulmonary artery endothelial cells demonstrate that significantly enhances resolution contrast across wide‐field confocal fluorescence microscopic systems, positioning powerful high‐resolution biological broad applications.

Language: Английский

Computational Adaptive Optics for Fluorescence Microscopy via Sparse Blind Deconvolution DOI
Runnan Zhang, Hao Du, Ning Zhou

et al.

Laser & Photonics Review, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Abstract Fluorescence microscopy is an indispensable tool for investigating cellular and tissue‐level biology, yet its performance often limited by optical diffraction, aberrations, noise, resulting in suboptimal imaging quality. Traditional adaptive optics (AO) methods typically rely on additional hardware, such as wavefront sensors, to measure correct system which can be both complex costly. Here, a computational technique based sparse blind deconvolution (CAO‐SBD) introduced, uses single blurred image estimate aberrations perform deblurring. By incorporating priors of fluorescent specimens with Zernike polynomial‐based aberration modeling, CAO‐SBD allows the simultaneous reconstruction aberrated point spread function (PSF) sample information, eliminating need precise PSF calibration. This method outperforms traditional Richardson‐Lucy enhancing robustness noise stabilizing process through correction. Experimental results bovine pulmonary artery endothelial cells demonstrate that significantly enhances resolution contrast across wide‐field confocal fluorescence microscopic systems, positioning powerful high‐resolution biological broad applications.

Language: Английский

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