Volumetric Reconstruction from 2D Projection Data for Fast 3D Imaging

Daniel Olesker; Bingying Chen; James D. Manton; Reto Fiolka; Andrew R. Harvey; Jonathan M. Taylor

doi:10.1364/COSI.2022.CTu4F.2

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)
Technical Digest Series (Optica Publishing Group, 2022),
paper CTu4F.2
•https://doi.org/10.1364/COSI.2022.CTu4F.2

Volumetric Reconstruction from 2D Projection Data for Fast 3D Imaging

Daniel Olesker, Bingying Chen, James D. Manton, Reto Fiolka, Andrew R. Harvey, and Jonathan M. Taylor

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 Computational Microscopy I (CTu4F)

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D. Olesker, B. Chen, J. D. Manton, R. Fiolka, A. R. Harvey, and J. M. Taylor, "Volumetric Reconstruction from 2D Projection Data for Fast 3D Imaging," in Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP), Technical Digest Series (Optica Publishing Group, 2022), paper CTu4F.2.

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Abstract

Imaging biological dynamics in 3D requires fast, high-resolution volumetric imaging techniques. We present a 3D-from-2D imaging pipeline that permits volumetric reconstruction from 2D projection snapshots, applicable to a range of microscopy image acquisition platforms.

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