Author

S. Bardehle

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

C. V. Pastuskovas· 1 shared C. Y. Chabu· 1 shared J. Soukup· 1 shared M. T. Cancilla· 1 shared M. Vagenknecht· 1 shared N. Kumar· 1 shared N. Patterson· 1 shared P. Bloomingdale· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

C. V. Pastuskovas

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1 paper

Recent·Most cited

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

N. Kumar, P. Hrobar, M. Vagenknecht, J. Soukup, N. Patterson, P. Bloomingdale, T. Freshwater, S. Bardehle, R. Peter, R. Mangadu, C. V. Pastuskovas, C. Y. Chabu, M. 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.

bioRxiv · Sep 16, 2023 · PreprintCancer Biology