Author

Anish Tatke

University of Florida Health

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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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:imaging· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Michael T. EadoniD· 2 shared Pinaki SarderiD· 2 shared Akshat Singh· 1 shared Angela R. SaboiD· 1 shared Anindya S. Paul· 1 shared Chanel Lee· 1 shared Daria BarwinskaiD· 1 shared Heather Rose KatesiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersPathology

Michael T. EadonORCID

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Author profile →

2 papers

Recent·Most cited

DigitAb: Domain-Adaptive Cell Type Prediction Method from Light Microscopy Images

Nicholas Lucarelli, Seth Winfree, Angela R. Sabo, Daria Barwinska, Michael J. Ferkowicz, William S. Bowen, Akshat Singh, Kaifeng Chen, Anish Tatke, Kuang‐Yu Jen, Michael T. Eadon, Tarek M. El‐Achkar, Sanjay Jain, Pinaki Sarder

DigitAb predicts cell types from H&E-stained slides using deep learning, achieving high accuracy without specialized assays or immunostains.

bioRxiv · May 21, 2026 · PreprintPathology

Spatially Resolved Banff Tubulitis and Glomerulitis Scoring in Kidney Allograft Biopsies via Artificial Intelligent-Based Structure Segmentation and Spatial Transcriptomics

Heather Rose Kates, Chanel Lee, Anindya S. Paul, Ishaq Ansari, Anish Tatke, Tori Lee, Minh‐Tri Nguyen, Michael T. Eadon, Pinaki Sarder, Yan Chen Wongworawat

The paper develops an AI-based method to generate spatial Banff t- and g-scores using spatial transcriptomics and histology, showing full concordance in severe rejection cases.

bioRxiv · May 12, 2026 · PreprintPathology