Author

Nandini Gummalla

University of WashingtonORCID 0009-0006-5171-2114Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1

Frequent Co-Authors

AT Bender· 1 shared Coleman D. MartiniD· 1 shared DAC Beck· 1 shared Jonathan D. PosneriD· 1 shared Kelli N. ShimazuiD· 1 shared Noah Charles BensoniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioengineering

AT Bender

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintJun 24, 2026

Semi-quantitative Classification of HIV-1 Nucleic Acids Using ResNet Image Analysis of Discretized Isothermal Amplification Reactions in a Microfluidic Chip

Coleman D. Martin, Noah Charles Benson, Nandini Gummalla…·Jonathan D. Posner

This paper develops a machine learning approach to semi-quantitatively classify HIV-1 nucleic acids using image analysis of isothermal amplification reactions in microfluidic chips, achieving high accuracy across a wide concentration range.

DOI 10.64898/2026.06.24.734232

humanfluorescence / live-cell microscopy

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