Author

Gabriel Casella

University of ChicagoORCID 0000-0002-5982-0332Unclaimed 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:cell type annotation· 3 Organism:human· 3 Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:microscopy & imaging analysis· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Junting Ai· 3 shared Madeleine S. TorcassoiD· 3 shared Marcus R. ClarkiD· 3 shared Maryellen Lissak GigeriD· 3 shared Thao CaoiD· 3 shared Anita S. ChongiD· 2 shared Anthony ChangiD· 2 shared Michael S. AndradeiD· 2 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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3 shared papersImmunology

Junting Ai

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

ImmunologybioRxivPreprintJan 15, 2026

High-dimensional spatial proteomics and novel machine learning pipeline identifies disease specific renal damage states

Thao Cao, Madeleine S. Durkee, Junting Ai…·Marcus R. Clark

The paper uses high-dimensional spatial proteomics and a machine learning pipeline to identify and quantify disease-specific renal damage states in lupus nephritis and renal allograft rejection.

2 citations

humanspatial transcriptomics

ImmunologybioRxivPreprintFeb 17, 2025

Resolution of in situ inflammation in human lupus nephritis into principal immune cell trajectories

Gabriel Casella, Madeleine S. Torcasso, Junting Ai…·Marcus R. Clark

The paper quantifies immune cell populations in lupus nephritis and renal allograft rejection using microscopy and computational tools, identifying distinct inflammatory trajectories.

DOI 10.1101/2025.02.17.638655

humanimaging

BioinformaticsbioRxivPreprintJan 9, 2024

Pseudo-spectral angle mapping for automated pixel-level analysis of highly multiplexed tissue image data

Madeleine S. Durkee, Junting Ai, Gabriel Casella…·Maryellen Lissak Giger

This paper introduces pSAM, a method for analyzing high-plex immunofluorescence images, and shows it can generalize across different staining panels and tissues without manual annotation.

3 citations

humanimaging