Author

Shai Bagon

Weizmann Institute of ScienceORCID 0000-0002-6057-4263Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1

Frequent Co-Authors

Idan MiloiD· 2 shared Leeat KereniD· 2 shared Yuval BussiiD· 2 shared Alexander RochwargeriD· 1 shared Ben Feinstein· 1 shared Christian M. SchürchiD· 1 shared Dana ShainsheiniD· 1 shared Inna GoliandiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersSystems Biology

Idan MiloORCID

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2 papers

Recent·Most cited

Escalating High-dimensional Imaging using Combinatorial Channel Multiplexing and Deep Learning

Raz Ben-Uri, Lior Ben Shabat, Dana Shainshein, Omer Bar-Tal, Yuval Bussi, Noa Maimon, Tal Keidar Haran, Idan Milo, Inna Goliand, Yoseph Addadi, Tomer‐Meir Salame, Alexander Rochwarger, Christian M. Schürch, Shai Bagon, Ofer Elhanani, Leeat Keren

This paper introduces CombPlex, a combinatorial staining method combined with deep learning to measure more proteins at single-cell resolution without needing specialized imaging equipment.

bioRxiv · Sep 9, 2023 · PreprintSystems Biology

CellSighter - A neural network to classify cells in highly multiplexed images

Yael Amitay, Yuval Bussi, Ben Feinstein, Shai Bagon, Idan Milo, Leeat Keren

CellSighter is a deep-learning pipeline that classifies cells in multiplexed images with high accuracy, reducing manual effort and improving consistency.

Nature Communications · Jul 18, 2023Peer-reviewedSystems Biology