Author

Paul Reamey

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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Animal Behavior & Cognition· 1 Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:zebrafish· 2 Approach:machine learning (classical)· 1

Frequent Co-Authors

Aurélien BègueiD· 3 shared Kanghyun KimiD· 3 shared Mark HarfoucheiD· 3 shared Amey ChawareiD· 2 shared Clay DugoiD· 2 shared Jed DomaniD· 2 shared John P. EfromsoniD· 2 shared Joshua F. LerneriD· 2 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersAnimal Behavior & Cognition

Aurélien BègueORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

High-throughput multi-camera array microscope platform for automated 3D behavioral analysis of swimming zebrafish larvae

Haitao Chen, Kevin Li, Lucas A. Kreiss, Paul Reamey, Lain X. Pierce, Ralph Zhang, Ricardo Da Luz, Amey Chaware, Kanghyun Kim, Clare B. Cook, Xi Yang, Joshua F. Lerner, Jed Doman, Aurélien Bègue, John P. Efromson, , Roarke W. Horstmeyer

This paper introduces a high-throughput 24-camera array microscope for automated 3D behavioral analysis of zebrafish larvae, enabling accurate tracking and morphological dynamics at high frame rates.

Communications Biology · Jan 23, 2026Peer-reviewedAnimal Behavior & Cognition

Parallelized Brightfield and Fluorescence Imaging of Organoids Using a Scalable Multi-Camera Platform

Kanghyun Kim, Rubal Singla, Amey Chaware, Jieun Park, Ina Klockner, Joshua F. Lerner, Kevin Li, Fanghong Shen, Clay Dugo, Paul Reamey, Aurélien Bègue, Mark Harfouche, Jason L. Stein, Roarke W. Horstmeyer

The paper introduces a multi-camera array scanner (MCAS) that significantly reduces imaging time for organoids, enabling faster and more consistent analysis of growth and responses to treatments.

bioRxiv · Oct 7, 2025 · PreprintNeuroscience

Automated, high-throughput quantification of EGFP-expressing neutrophils in zebrafish by machine learning and a highly-parallelized microscope

John P. Efromson, Giuliano Ferrero, Aurélien Bègue, Jed Doman, Clay Dugo, Andi Barker, Veton Saliu, Paul Reamey, Kanghyun Kim, Mark Harfouche, Jeffrey A. Yoder

This paper develops a high-throughput method to count EGFP-expressing neutrophils in zebrafish larvae using a parallelized microscope and machine learning, validated against manual counts.

PLoS ONE · Dec 7, 2023Peer-reviewedBioinformatics