Deep Learning-enabled Autofocusing and Pixel Super-Resolution in Holographic Imaging

Hanlong Chen; Hanlong Chen; Hanlong Chen; Luzhe Huang; Luzhe Huang; Luzhe Huang; Tairan Liu; Tairan Liu; Tairan Liu; Aydogan Ozcan; Aydogan Ozcan; Aydogan Ozcan; Aydogan Ozcan

doi:10.1364/FIO.2023.FTu6D.2

Frontiers in Optics + Laser Science 2023 (FiO, LS)
Technical Digest Series (Optica Publishing Group, 2023),
paper FTu6D.2
•https://doi.org/10.1364/FIO.2023.FTu6D.2

Deep Learning-enabled Autofocusing and Pixel Super-Resolution in Holographic Imaging

Hanlong Chen, Luzhe Huang, Tairan Liu, and Aydogan Ozcan

Frontiers in Optics 2023

Tacoma, Washington United States
9–12 October 2023
ISBN: 978-1-957171-29-6

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H. Chen, L. Huang, T. Liu, and A. Ozcan, "Deep Learning-enabled Autofocusing and Pixel Super-Resolution in Holographic Imaging," in Frontiers in Optics + Laser Science 2023 (FiO, LS), Technical Digest Series (Optica Publishing Group, 2023), paper FTu6D.2.

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Abstract

We introduce the enhanced Fourier Imager Network (eFIN), a deep learning framework for generalizable holographic image reconstruction, offering adaptive pixel super-resolution and autofocusing. Tested on new sample types, eFIN demonstrates superior generalizability and robustness.

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