Physics-Based Learned Design for Fourier DiffuserScope

Eric Markley; Fanglin Linda Liu; Michael Kellman; Nick Antipa; Laura Waller; Laura Waller

doi:10.1364/COSI.2021.CM6B.3

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper CM6B.3
•https://doi.org/10.1364/COSI.2021.CM6B.3

Physics-Based Learned Design for Fourier DiffuserScope

Eric Markley, Fanglin Linda Liu, Michael Kellman, Nick Antipa, and Laura Waller

Computational Optical Sensing and Imaging 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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Machine Learning for Optical Sensing and Imaging (CM6B)

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E. Markley, F. L. Liu, M. Kellman, N. Antipa, and L. Waller, "Physics-Based Learned Design for Fourier DiffuserScope," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper CM6B.3.

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Abstract

We couple a differentiable forward model of diffuser-based single-shot 3D microscopy (Fourier DiffuserScope) with an invertible and differentiable reconstruction algorithm to jointly optimize the imaging system and the reconstruction parameters in a memory-efficient manner.

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