Gigapixel-per-second, wide-field 3D topographic imaging with physics-supervised learning

Kevin C. Zhou; Mark Harfouche; Colin Cooke; Jaehee Park; Pavan Konda; Jed Doman; Paul Reamey; Veton Saliu; Maxwell Zheng; Gregor Horstmeyer; Roarke Horstmeyer

doi:10.1364/COSI.2022.JW4C.4

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)
Technical Digest Series (Optica Publishing Group, 2022),
paper JW4C.4
•https://doi.org/10.1364/COSI.2022.JW4C.4

Gigapixel-per-second, wide-field 3D topographic imaging with physics-supervised learning

Kevin C. Zhou, Mark Harfouche, Colin Cooke, Jaehee Park, Pavan Konda, Jed Doman, Paul Reamey, Veton Saliu, Maxwell Zheng, Gregor Horstmeyer, and Roarke Horstmeyer

Computational Optical Sensing and Imaging 2022

Vancouver, British Columbia Canada
11–15 July 2022
ISBN: 978-1-957171-09-8

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Advances in the Design, Fabrication and Characterization of Optical Sensors I (Joint COSI and IS) (JW4C)

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K. C. Zhou, M. Harfouche, C. Cooke, J. Park, P. Konda, J. Doman, P. Reamey, V. Saliu, M. Zheng, G. Horstmeyer, and R. Horstmeyer, "Gigapixel-per-second, wide-field 3D topographic imaging with physics-supervised learning," in Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP), Technical Digest Series (Optica Publishing Group, 2022), paper JW4C.4.

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Abstract

We present a new interleaved multi-camera microscope architecture and a physics-supervised multi-ocular stereo neural network that enable simultaneous photometric and 3D topographic imaging of freely-moving organisms over 135 cm² at throughputs exceeding 5 gigapixels per second.

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