Author

Serina M. DeSalvio

Texas A&M UniversityORCID 0000-0003-3741-7144Unclaimed 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 Assay:imaging· 2 Approach:statistical model· 2 Organism:chicken / avian· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:plant (other)· 1

Frequent Co-Authors

Aaron J. DeSalvioiD· 2 shared Alper AdakiD· 2 shared David M. StellyiD· 2 shared Seth C. MurrayiD· 2 shared Addie ThompsoniD· 1 shared Candice N. HirschiD· 1 shared Dayane Cristina LimaiD· 1 shared Himabindhu BadavathiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersPlant Biology

Aaron J. DeSalvioORCID

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2 papers

Recent·Most cited

Plant BiologybioRxivPreprintSep 5, 2025

Distributional Data Analysis Uncovers Hundreds of Novel and Heritable Phenomic Features from Temporal Cotton and Maize Drone Imagery

Aaron J. DeSalvio, Marcos Matabuena, Alper Adak…·David M. Stelly

This paper introduces distributional data analysis to plant phenomics, showing it captures novel heritable features in cotton and maize imagery that improve yield prediction and explain genetic variation.

DOI 10.1101/2025.09.05.674557

chicken / avianimaging

𝕏 PostBluesky

Plant Biologyin silico PlantsPeer-reviewedJan 1, 2024

Temporal Image Sandwiches Enable Link between Functional Data Analysis and Deep Learning for Single-Plant Cotton Senescence

Aaron J. DeSalvio, Alper Adak, Mustafa A Arik…·David M. Stelly

This paper links functional data analysis with deep learning to analyze single-plant cotton senescence using temporally concatenated UAS images.

DOI 10.1093/insilicoplants/diae019

plant (other)imaging

𝕏 PostBluesky