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• W2806144920 abstract "The 3D point-spread function (PSF) plays a fundamental role in wide-field fluorescence microscopy. An accurate PSF estimation can significantly improve the performance of deconvolution algorithms. In this work, we propose a calibration-free method to obtain the PSF directly from the image obtained. Specifically, we first parametrize the spherically aberrated PSF as a linear combination of few basis functions. The coefficients of these basis functions are then obtained iteratively by minimizing a novel criterion, which is derived from the mixed Poisson-Gaussian noise statistics. Experiments demonstrate that the proposed approach results in highly accurate PSF estimations." @default.
• W2806144920 created "2018-06-13" @default.
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• W2806144920 date "2018-04-01" @default.
• W2806144920 modified "2023-10-14" @default.
• W2806144920 title "Accurate 3D PSF estimation from a wide-field microscopy image" @default.
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• W2806144920 doi "https://doi.org/10.1109/isbi.2018.8363625" @default.
• W2806144920 hasPublicationYear "2018" @default.
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