Author

Tapabrata Chakraborti

The Alan Turing InstituteORCID 0000-0002-5597-908XUnclaimed 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:benchmarking· 2 Approach:deep learning· 2 Assay:imaging· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Binghao ChaiiD· 2 shared Adrienne Margaret FlanaganiD· 1 shared Anna Tollit· 1 shared David F. SteineriD· 1 shared Fatine OumliliD· 1 shared Jianan CheniD· 1 shared Paul CooliD· 1 shared Yang MengiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersPathology

Binghao ChaiORCID

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2 papers

Recent·Most cited

Stain Normalisation Does Not Consistently Improve Matched-Location Retrieval with Pathology Foundation Models

Yang Meng, Binghao Chai, Tapabrata Chakraborti

This study tests if stain normalization improves retrieval with pathology foundation models, finding no consistent benefit and potential harm from Macenko normalization.

bioRxiv · Oct 19, 2026 · PreprintPathology

Impact of tissue staining and scanner variation on the performance of pathology foundation models: a study of sarcomas and their mimics

Binghao Chai, Jianan Chen, Paul Cool, Fatine Oumlil, Anna Tollit, David F. Steiner, Tapabrata Chakraborti, Adrienne Margaret Flanagan

Across 14 sarcoma and mimic subtypes, six pathology foundation models beat ResNet50 but lost accuracy under multi-institutional staining; adding 121 externally stained slides narrowed the gap.

The Journal of Pathology Clinical Research · Feb 24, 2026Peer-reviewedPathology✦ In-depth digest