Author

Jim Miller

University of Rochester MedicineORCID 0009-0004-0745-3771Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:software / tool· 1

Frequent Co-Authors

David W. OleksyniD· 2 shared Tristan D. McRaeiD· 1 shared Yu‐Rong GaoiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersImmunology

David W. OleksynORCID

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2 papers

Recent·Most cited

ImmunologyLife Science AlliancePeer-reviewedDec 25, 2025

Intravital imaging the formation and resolution of MHC class II-positive T cell activation niches

David W. Oleksyn, Jim Miller

The paper develops two fluorescent reporter mice to track MHC class II and CD8-positive T cells in vivo, enabling long-term imaging of immune response dynamics.

DOI 10.26508/lsa.202503476

mouseimaging

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BioinformaticsPLoS ONEPeer-reviewedDec 2, 2019

Robust blind spectral unmixing for fluorescence microscopy using unsupervised learning

Tristan D. McRae, David W. Oleksyn, Jim Miller, Yu‐Rong Gao

This paper introduces LUMoS, an unsupervised spectral unmixing method for fluorescence microscopy that improves multi-channel separation and image quality without hardware upgrades.

78 citationstop 5%

imagingmachine learning (classical)

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