Spatially-varying microscope calibration from unstructured sparse inputs

Grace Kuo; Kristina Monakhova; Kyrollos Yanny; Ren Ng; Laura Waller; Laura Waller

doi:10.1364/COSI.2020.CF4C.4

Imaging and Applied Optics Congress
OSA Technical Digest (Optica Publishing Group, 2020),
paper CF4C.4
•https://doi.org/10.1364/COSI.2020.CF4C.4

Spatially-varying microscope calibration from unstructured sparse inputs

Grace Kuo, Kristina Monakhova, Kyrollos Yanny, Ren Ng, and Laura Waller

Computational Optical Sensing and Imaging 2020

Washington, DC United States
22–26 June 2020
ISBN: 978-1-943580-77-4

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Microscopy and Polarimetry (CF4C)

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G. Kuo, K. Monakhova, K. Yanny, R. Ng, and L. Waller, "Spatially-varying microscope calibration from unstructured sparse inputs," in Imaging and Applied Optics Congress, OSA Technical Digest (Optica Publishing Group, 2020), paper CF4C.4.

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Abstract

We propose a method based on blind deconvolution to calibrate the spatially-varying point spread functions of a coded-aperture microscope system. From easy-to- acquire measurements of unstructured fluorescent beads, we recover a spatially-varying forward model that outperforms prior approaches.

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