Improving pathology and life science research by leveraging computational microscopy and machine learning

Changhuei Yang

doi:10.1117/12.3000231

13 March 2024 Improving pathology and life science research by leveraging computational microscopy and machine learning

Changhuei Yang

Proceedings Volume PC12852, Quantitative Phase Imaging X; PC1285203 (2024) https://doi.org/10.1117/12.3000231
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

The level of computational power we can currently access, has significantly changed the way we think about, process and interact with information. In this talk, I will discuss some of our recent computational microscopy and deep learning work, that showcase some of these shifts in the context of pathology and life science research.

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Changhuei Yang "Improving pathology and life science research by leveraging computational microscopy and machine learning", Proc. SPIE PC12852, Quantitative Phase Imaging X, PC1285203 (13 March 2024); https://doi.org/10.1117/12.3000231

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KEYWORDS

Life sciences

Microscopy

Pathology

Scientific research

Machine learning

Deep learning

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