Author

Nathan A. Hotaling

National Institutes of HealthORCID 0000-0001-8423-6464Unclaimed 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 Research Focus:database / resource· 2 Assay:imaging· 2 Research Focus:software / tool· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Nicholas J. SchaubiD· 2 shared A. YoldaşiD· 1 shared Ahmet Can SolakiD· 1 shared Alan M. WatsoniD· 1 shared Albane le Tournoulx de la VillegeorgesiD· 1 shared Bengt LjungquistiD· 1 shared Beth A. CiminiiD· 1 shared Buğra ÖzdemiriD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Nicholas J. SchaubORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 19, 2026

muDM: A Queryable Multi-Resolution Data Model for Vector Geometry in Spatial Bioimaging

Bengt Ljungquist, Nathan A. Hotaling, Nicholas J. Schaub

muDM is a multi-resolution data model for spatial bioimaging that enables querying of vector geometries with associated molecular data across resolutions, improving classifier performance for neuron meshes.

DOI 10.64898/2026.10.16.759449

spatial transcriptomicsimaging

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BioinformaticsHistochemistry and Cell BiologyPeer-reviewedJul 10, 2023

OME-Zarr: a cloud-optimized bioimaging file format with international community support

Josh Moore, Daniela Basurto-Lozada, Sébastien Besson…·Jason R. Swedlow

This paper describes OME-Zarr, a cloud-optimized bioimaging file format developed through community collaboration to improve scalability and data access.

129 citationstop 1%

imagingdatabase / resource

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