Author

P. Natekar

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· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:software / tool· 1

Frequent Co-Authors

H. Hakozaki· 2 shared J. Schoeneberg· 2 shared Z. Wang· 2 shared C. Tea· 1 shared M. Arora· 1 shared S. Tamir· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersPharmacology & Toxicology

H. Hakozaki

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2 papers

Recent·Most cited

Self-supervised deep learning uncovers the semantic landscape of drug-induced latent mitochondrial phenotypes

P. Natekar, Z. Wang, M. Arora, H. Hakozaki, J. Schoeneberg

This study introduces MitoSpace, a self-supervised deep learning approach to map drug-induced mitochondrial phenotypes, revealing a more complex morphology landscape than previously thought.

bioRxiv · Sep 13, 2023 · PreprintPharmacology & Toxicology

MitoTNT: Mitochondrial Temporal Network Tracking for 4D live-cell fluorescence microscopy data

Z. Wang, P. Natekar, C. Tea, S. Tamir, H. Hakozaki, J. Schoeneberg

MitoTNT tracks mitochondrial networks in 4D live-cell imaging data, revealing movement patterns and dynamic responses to pharmacological treatments.

bioRxiv · Aug 16, 2022 · PreprintCell Biology