Author

Anthony S Martinez

University of Colorado AnschutzORCID 0009-0001-6281-2632Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Developmental Biology· 2

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Research Focus:cell type annotation· 2 Organism:mouse· 2 Assay:imaging· 1 Approach:machine learning (classical)· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Jennifer McKeyiD· 2 shared Blanche CapeliD· 1 shared Corey BunceiD· 1 shared Courtney DiamondiD· 1 shared Jaelyn A Williams· 1 shared Jennifer JaimeiD· 1 shared Lillian M. FoltsiD· 1 shared Tyler J. GibsoniD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersDevelopmental Biology

Jennifer McKeyORCID

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2 papers

Recent·Most cited

Single-cell-scale spatial transcriptome reveals early regional priming of the developing mouse ovary

Anthony S Martinez, Tyler J. Gibson, Courtney Diamond, Jennifer Jaime, Jennifer McKey

This study uses spatial transcriptomics to map ovarian development in mice, identifying a medullary core of pregranulosa cells poised for activation.

bioRxiv · Sep 16, 2025 · PreprintDevelopmental Biology

OoCount: A machine-learning based approach to mouse ovarian follicle counting and classification

Lillian M. Folts, Anthony S Martinez, Jaelyn A Williams, Corey Bunce, Blanche Capel, Jennifer McKey

OoCount provides an automated method for counting and classifying oocytes in 3D fluorescent microscopy images of mouse ovaries using machine learning.

Biology of Reproduction · Feb 2, 2025Peer-reviewedDevelopmental Biology