Author

Allison B. Esselman

Vanderbilt UniversityORCID 0000-0002-4122-6773Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Felipe A. MoseriD· 3 shared Jeffrey M. SpragginsiD· 3 shared Nathan Heath PattersoniD· 3 shared Raf Van de PlasiD· 3 shared Ellie L. PingryiD· 2 shared Lukasz G. MigasiD· 2 shared Mark P. deCaesteckeriD· 2 shared Agnes B. FogoiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Felipe A. MoserORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Unmixing of Imaging Mass Spectrometry Measurements Using Microscopy-Informed Constraints

Roger Moens, Nathan Heath Patterson, Lukasz G. Migas, Allison B. Esselman, Felipe A. Moser, Jeffrey M. Spraggins, Raf Van de Plas

This paper introduces TULIP, a method to unmix IMS data using microscopy constraints, improving analysis of tissue structures in synthetic and kidney datasets.

bioRxiv · Oct 29, 2025 · PreprintBioinformatics

Revealing In Situ Molecular Profiles of Glomerular Cell Types and Substructures with Integrated Imaging Mass Spectrometry and Multiplexed Immunofluorescence Microscopy

Allison B. Esselman, Felipe A. Moser, Léonore E. M. Tideman, Lukasz G. Migas, Katerina V. Djambazova, Madeline E. Colley, Ellie L. Pingry, Nathan Heath Patterson, Melissa A. Farrow, Haichun Yang, Agnes B. Fogo, Mark P. deCaestecker, Raf Van de Plas, Jeffrey M. Spraggins

This paper integrates MALDI IMS and MxIF microscopy to analyze lipid and molecular profiles of glomerular cell types and substructures in human kidney tissue.

Kidney International · Nov 19, 2024Peer-reviewedBiochemistry

Automated Segmentation of Kidney Nephron Structures by Deep Learning Models on Label-free Autofluorescence Microscopy for Spatial Multi-omics Data Acquisition and Mining

Nathan Heath Patterson, Ellie L. Pingry, Felipe A. Moser, Angela R.S. Kruse, Martin Dufresne, Katerina Djambazova, Allison B. Esselman, Maya Brewer, Jacqueline M. Van Ardenne, Jamie L. Allen, Amelia Wang, Mark deCaestacker, Melissa A. Farrow, Raf Van de Plas, Jeffrey M. Spraggins

bioRxiv · Jul 16, 2021 · PreprintBioinformatics