Author

Bryan Dinh

The University of Texas at Austin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Assay:metagenomics· 1

Frequent Co-Authors

Amanda N. ScholesiD· 1 shared Brandon Niese· 1 shared Danielle S. LeSassieriD· 1 shared Krista L. TernusiD· 1 shared Lydia M. ContrerasiD· 1 shared Philip SweetiD· 1 shared Vernita Diane GordoniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperMicrobiology

Amanda N. ScholesORCID

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1 paper

Recent·Most cited

Predicting characterization of microbiome taxonomy from imaging using machine learning approaches

Brandon Niese, Philip Sweet, Bryan Dinh, Amanda N. Scholes, Danielle S. LeSassier, Krista L. Ternus, Lydia M. Contreras, Vernita Diane Gordon

This paper uses machine learning on microscopy images to predict microbial community taxonomic diversity and dominant bacterial classes, achieving high accuracy and low error.

bioRxiv · Feb 3, 2025 · PreprintMicrobiology