3D computational microscopy with depth-varying point-spread functions using a principal component analysis method

Shuai Yuan; Chrysanthe Preza

doi:10.1364/ISA.2013.IM3E.4

Imaging and Applied Optics
OSA Technical Digest (online) (Optica Publishing Group, 2013),
paper IM3E.4
•https://doi.org/10.1364/ISA.2013.IM3E.4

3D computational microscopy with depth-varying point-spread functions using a principal component analysis method

Shuai Yuan and Chrysanthe Preza

Imaging Systems and Applications 2013

Arlington, Virginia United States
23–27 June 2013
ISBN: 978-1-55752-975-6

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Microscopy (IM3E)

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S. Yuan and C. Preza, "3D computational microscopy with depth-varying point-spread functions using a principal component analysis method," in Imaging and Applied Optics, OSA Technical Digest (online) (Optica Publishing Group, 2013), paper IM3E.4.

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Abstract

An image estimation method based on a principle component analysis (PCA) model for the representation of the depth varying point spread function is presented and demonstrated with 3D simulated and experimental data.

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