Author

Mark T. Cancilla

Merck & Co., Inc., Rahway, NJ, USA (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:microscopy & imaging analysis· 1 Organism:mouse· 1

Frequent Co-Authors

Chiswili Yves ChabuiD· 1 shared Cinthia V. Pastuskovas· 1 shared Jindřich Soukup· 1 shared Martin Vagenknecht· 1 shared Nadia Patterson· 1 shared Niyanta N. KumariD· 1 shared Peter BloomingdaleiD· 1 shared Petr Hrobař· 1 shared

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2023-2023 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Chiswili Yves ChabuORCID

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1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintSep 16, 2023

A Light sheet fluorescence microscopy and machine learning-based approach to investigate drug and biomarker distribution in whole organs and tumors.

Niyanta N. Kumar, Petr Hrobař, Martin Vagenknecht…·Mark T. Cancilla

This paper uses light sheet fluorescence microscopy and machine learning to study drug and biomarker distribution in whole organs and tumors, showing improved segmentation accuracy and subcellular resolution.

2 citations

mouseimaging

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