Author

B. L. Cantarel

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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Cell Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. Ashkenazy-Titelman· 1 shared A. Bow· 1 shared A. Kowalczyk· 1 shared A. Nevarez· 1 shared A. Quieroz· 1 shared A. R. Jamieson· 1 shared A. Zaritsky· 1 shared B. Lamm· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCell Biology

A. Ashkenazy-Titelman

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Author profile →

2 papers

Recent·Most cited

DERIVATION OF ELEPHANT INDUCED PLURIPOTENT STEM CELLS

E. M. Appleton, K. Hong, C. Rodriguez-Caycedo, Y. Tanaka, A. Ashkenazy-Titelman, K. Bhide, C. Rasmussen-Ivey, X. Ambriz-Pena, N. Korover, H. Bai, A. Quieroz, J. Nelson, G. Rathod, G. Knox, M. Morgan, , E. Hysolli

This paper reports the first derivation of elephant induced pluripotent stem cells (emiPSCs) using a modified reprogramming protocol that inhibits TP53 expansion genes.

bioRxiv · Mar 5, 2024Cell Biology

Interpretable deep learning of label-free live cell images uncovers functional hallmarks of highly-metastatic melanoma

A. Zaritsky, A. R. Jamieson, E. S. Welf, A. Nevarez, J. Cillay, U. Eskiocak, B. L. Cantarel, G. Danuser

This paper uses an adversarial auto-encoding deep learning model to classify metastatic efficiency in melanoma cells from label-free live cell images and identifies pseudopodial extensions and light scattering as functional hallmarks.

bioRxiv · May 15, 2020Cell Biology