Computationally tractable approach to PCA-based depth-variant PSF representation for 3D microscopy image restoration

Nurmohammed Patwary; Chrysanthe Preza

doi:10.1364/COSI.2014.CW1C.5

Classical Optics 2014
OSA Technical Digest (online) (Optica Publishing Group, 2014),
paper CW1C.5
•https://doi.org/10.1364/COSI.2014.CW1C.5

Computationally tractable approach to PCA-based depth-variant PSF representation for 3D microscopy image restoration

Nurmohammed Patwary and Chrysanthe Preza

Computational Optical Sensing and Imaging 2014

Kohala Coast, Hawaii United States
22–26 June 2014
ISBN: 978-1-55752-747-9

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Imaging in a Diffuse Media (CW1C)

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N. Patwary and C. Preza, "Computationally tractable approach to PCA-based depth-variant PSF representation for 3D microscopy image restoration," in Classical Optics 2014, OSA Technical Digest (online) (Optica Publishing Group, 2014), paper CW1C.5.

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Abstract

Application of a previously developed PCA-based expectation maximization algorithm to experimental data is made possible through an interpolated PCA approach. Simulated and experimental results confirm achieved accuracy in image restoration of thick samples.

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