Author

Kirsten H. Parratt

National Institute of Standards and TechnologyORCID 0000-0002-2640-3276Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 2

Signature Assays, Organisms & Methods

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Organism:E. coli· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Assay:flow cytometry· 1 Assay:metagenomics· 1

Frequent Co-Authors

Alshae’ Logan-JacksoniD· 1 shared Anthony J. KearsleyiD· 1 shared David C. NewtoniD· 1 shared Guilherme L. PinheiroiD· 1 shared Jennifer N. Dootz· 1 shared Joy P. DunkersiD· 1 shared L. PierceiD· 1 shared Monique E. HunteriD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperMicrobiology

Alshae’ Logan-JacksonORCID

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2 papers

Recent·Most cited

Measurement Quality Metrics to Improve Absolute Microbial Cell Counting

Kirsten H. Parratt, David C. Newton, Joy P. Dunkers, Jennifer N. Dootz, Monique E. Hunter, Alshae’ Logan-Jackson, L. Pierce, Sumona Sarkar, Stephanie L. Servetas, Nancy J. Lin

This paper develops and demonstrates modified quality metrics for microbial cell counting methods to improve accuracy and comparability across different techniques.

Frontiers in Microbiology · Aug 18, 2025Peer-reviewedMicrobiology

Stochastic Regression and Peak Delineation with Flow Cytometry Data

Anthony J. Kearsley, Kirsten H. Parratt, Guilherme L. Pinheiro, Suse Botelho da Silva

The paper introduces a method to separate signal and noise in flow cytometry data to improve genome copy number estimation in E. coli.

bioRxiv · Feb 21, 2025 · PreprintMicrobiology