Author

Clay Dugo

ORCID 0009-0004-6499-9068Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Aurélien BègueiD· 2 shared Kanghyun KimiD· 2 shared Mark HarfoucheiD· 2 shared Paul Reamey· 2 shared Amey ChawareiD· 1 shared Andi BarkeriD· 1 shared Fanghong Shen· 1 shared Giuliano FerreroiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersNeuroscience

Aurélien BègueORCID

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2 papers

Recent·Most cited

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