Author

Shahryar Khoshtinat Nikkhoi

Dana-Farber Cancer InstituteORCID 0000-0002-7069-4111Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1

Frequent Co-Authors

Anusuya M. RamasubramanianiD· 1 shared Eric L. SmithiD· 1 shared Jordan Urbani· 1 shared Kartika VenugopaliD· 1 shared Kirby Madden-Hennessey· 1 shared Qi ZhaoiD· 1 shared Xueqi LiuiD· 1 shared Yun FuiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperCell Biology

Anusuya M. RamasubramanianORCID

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1 paper

Recent·Most cited

High-throughput Image-based Clustering of CAR-T/Tumor Cocultures for Rapid and Facile Hit Identification

Zhi Xu, Xueqi Liu, Kirby Madden-Hennessey, Jordan Urbani, Shahryar Khoshtinat Nikkhoi, Anusuya M. Ramasubramanian, Kartika Venugopal, Qi Zhao, Eric L. Smith, Yun Fu

This paper introduces a novel image clustering approach for CAR-T/tumor cocultures using U-net and clustering algorithms, demonstrating superior performance in classification and data interpretation.

bioRxiv · Aug 28, 2024 · PreprintCell Biology