Adaptable deep learning for holographic microscopy: a case study on tissue type and system variability in label-free histopathology

Jiseong Barg; Chanseok Lee; Chunghyeong Lee; Mooseok Jang

doi:10.1117/1.APN.4.2.026005

Advanced Photonics Nexus, Volume. 4, Issue 2, 026005(2025)

Adaptable deep learning for holographic microscopy: a case study on tissue type and system variability in label-free histopathology

Jiseong Barg1... Chanseok Lee1, Chunghyeong Lee1, and Mooseok Jang12,* |Show fewer author(s)

Author Affiliations

¹Korea Advanced Institute of Science and Technology, Department of Bio and Brain Engineering, Daejeon, Republic of Korea

²Korea Advanced Institute of Science and Technology, KAIST Institute for Health Science and Technology, Daejeon, Republic of Korea

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Jiseong Barg, Chanseok Lee, Chunghyeong Lee, Mooseok Jang, "Adaptable deep learning for holographic microscopy: a case study on tissue type and system variability in label-free histopathology," Adv. Photon. Nexus 4, 026005 (2025)

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Paper Information

Category: Research Articles

Received: Oct. 10, 2024

Accepted: Jan. 20, 2025

Published Online: Feb. 19, 2025

The Author Email: Jang Mooseok (mooseok@kaist.ac.kr)

DOI:10.1117/1.APN.4.2.026005

CSTR:32397.14.1.APN.4.2.026005

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

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