3D lensless fiber endoscopy exploiting deep learning and diffractive optical elements

Juergen W. Czarske; Juergen W. Czarske; Tom Glosemeyer; Elias Scharf; Robert Kuschmierz; Robert Kuschmierz

doi:10.1364/3D.2022.3Tu3A.1

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)
Technical Digest Series (Optica Publishing Group, 2022),
paper 3Tu3A.1
•https://doi.org/10.1364/3D.2022.3Tu3A.1

3D lensless fiber endoscopy exploiting deep learning and diffractive optical elements

Juergen W. Czarske, Tom Glosemeyer, Elias Scharf, and Robert Kuschmierz

3D Image Acquisition and Display: Technology, Perception and Applications 2022

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

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Deep Learning for 3D Imaging (3Tu3A)

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J. W. Czarske, T. Glosemeyer, E. Scharf, and R. Kuschmierz, "3D lensless fiber endoscopy exploiting deep learning and diffractive optical elements," in Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP), Technical Digest Series (Optica Publishing Group, 2022), paper 3Tu3A.1.

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Abstract

This paper presents a paradigm shift in endoscopy using coherent fiber bundles (CFB). The memory effect of CFB is exploited towards 3D endoscopy using printed diffractive optical elements (DOE) and deep neural networks.

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