Author

G. Sevlever

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:differential expression· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1

Frequent Co-Authors

A. La Greca· 2 shared A. Waisman· 2 shared C. Luzzani· 2 shared L. N. Moro· 2 shared S. G. Miriuka· 2 shared A. Lombardi· 1 shared A. M. Möbbs· 1 shared A. Norris· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersCell Biology

A. La Greca

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Small extracellular vesicles from iPSC-MSC lose their regenerative potential upon UV-C irradiation

M. C. Biani, A. Lombardi, A. Norris, P. Bucci, A. La Greca, A. Waisman, L. N. Moro, G. Sevlever, J. Montanari, S. G. Miriuka, C. Luzzani

This study shows that UV-C irradiation of iPSC-MSC alters the cargo of secreted small EVs, reducing their ability to promote cell migration.

bioRxiv · Sep 27, 2021 · PreprintCell Biology

celldeath: a tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition

A. La Greca, N. Perez, S. Castaneda, P. M. Milone, M. A. Scarafia, A. M. Möbbs, A. Waisman, L. N. Moro, G. Sevlever, C. Luzzani, S. G. Miriuka

The paper develops a deep learning tool to detect cell death in microscopy images, showing high accuracy and outperforming human detection.

bioRxiv · Mar 22, 2020 · PreprintCell Biology