Learning-based autofocusing regression model for Digital Lensless Holographic Microscopy

Manuel Montoya; Maria J. Lopera; Carlos Trujillo

doi:10.1364/DH.2022.Tu4A.3

Digital Holography and 3-D Imaging 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper Tu4A.3
•https://doi.org/10.1364/DH.2022.Tu4A.3

Learning-based autofocusing regression model for Digital Lensless Holographic Microscopy

Manuel Montoya, Maria J. Lopera, and Carlos Trujillo

Digital Holography and Three-Dimensional Imaging 2022

Cambridge United Kingdom
1–4 August 2022
ISBN: 978-1-957171-12-8

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Phase Processing, Retrieval Techniques, and Applications I (Tu4A)

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M. Montoya, M. J. Lopera, and C. Trujillo, "Learning-based autofocusing regression model for Digital Lensless Holographic Microscopy," in Digital Holography and 3-D Imaging 2022, D. Chu, J. Park, C. Cheng, and P. Ferraro, eds., Technical Digest Series (Optica Publishing Group, 2022), paper Tu4A.3.

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Abstract

We propose a convolutional neural network - based model to predict the focus distance of contrast digital lensless holograms. The model predicts the focus distance of holograms with no numerical reconstruction process involved.

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