Quantitative phase imaging and artificial intelligence

YongKeun Park

doi:10.1117/12.3009155

13 March 2024 Quantitative phase imaging and artificial intelligence

YongKeun Park

Proceedings Volume PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences; PC128570U (2024) https://doi.org/10.1117/12.3009155
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Quantitative phase imaging (QPI) is a powerful label-free imaging technique that enables high-resolution, three-dimensional imaging of unlabeled samples by exploiting refractive index (RI) distributions as intrinsic imaging contrast. In this talk, we present the latest developments in 2D, 3D QPI techniques in visible1-3 and X-ray wavelengths. We will elucidate the principles of various QPI techniques, detail the reconstruction algorithms involved, and explore the enhancement of image analysis through machine learning algorithms. Moreover, we will delve into potential applications, spanning cell biology, biotechnology, and industrial inspections in fields such as semiconductors and display devices.

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Citation Download Citation

YongKeun Park "Quantitative phase imaging and artificial intelligence", Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC128570U (13 March 2024); https://doi.org/10.1117/12.3009155

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KEYWORDS

X-ray optics

Phase imaging

X-rays

X-ray imaging

Biological imaging

Photonics

Reconstruction algorithms

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