Quantitative phase imaging and artificial intelligence: label-free 3D imaging, classification, and inference

YongKeun Park

doi:10.1364/ISA.2021.ITh7D.1

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper ITh7D.1
•https://doi.org/10.1364/ISA.2021.ITh7D.1

Quantitative phase imaging and artificial intelligence: label-free 3D imaging, classification, and inference

YongKeun Park

Imaging Systems and Applications 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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Computational Imaging I (ITh7D)

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Y. Park, "Quantitative phase imaging and artificial intelligence: label-free 3D imaging, classification, and inference," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper ITh7D.1.

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Abstract

We exploit quantitative phase imaging (QPI) for label-free quantitative live-cell imaging of cells and tissues, and applied machine learning algorithms to classify cell types, segment cellular or organelles boundaries, and molecular inference.

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