Author

Nina Wale

Michigan State UniversityORCID 0000-0001-9703-444XUnclaimed 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:cell type annotation· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Assay:flow cytometry· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron A. KingiD· 1 shared Daniel B. VocelleiD· 1 shared Louise Thompson· 1 shared Madeline A. E. PetersiD· 1 shared Matthew P. BernardiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperMicrobiology

Aaron A. KingORCID

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2 papers

Recent·Most cited

MicrobiologymSpherePeer-reviewedNov 25, 2025

Imaging flow cytometry enables label-free cell sorting of morphological variants from unculturable bacterial populations.

Daniel B. Vocelle, Louise Thompson, Matthew P. Bernard, Nina Wale

This paper introduces a label-free method using imaging flow cytometry to sort bacterial morphotypes from unculturable populations, achieving >90% purity for downstream analyses.

1 citation

bacteria (other)flow cytometry

𝕏 PostBluesky

MicrobiologyFrontiers in MalariaPeer-reviewedAug 16, 2024

Red blood cell dynamics during malaria infection challenge the assumptions of mathematical models of infection dynamics

Madeline A. E. Peters, Aaron A. King, Nina Wale

This study challenges existing mathematical models of malaria infection dynamics by showing RBC supply and clearance do not conform to common model assumptions.

1 citation

mousebulk RNA-seq

𝕏 PostBluesky