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Interpretable Deep Learning for Breast Cancer Cell Phenotyping Using Diffraction Images from Lens-Free Digital In-Line Holography

2021-05-29

Abstract excerpt

Lens-free digital in-line holography (LDIH) offers a wide field of view at micrometer-scale resolution, surpassing the capabilities of lens-based microscopes, making it a promising diagnostic tool for high-throughput cellular analysis. However, the complex nature of holograms renders them challenging for human interpretation, necessitating time- consuming computational processing to reconstruct object images. To a...

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Literature Corpus work
3845785d-309c-54d0-924d-f4d977afc658
DOI
10.1101/2021.05.29.446284
Open publication

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Interpretable Deep Learning for Breast Cancer Cell Phenotyping Using Diffraction Images from Lens-Free Digital In-Line HolographyDOI 10.1101/2021.05.29.446284
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