Author

Georgia Dunn

Michigan State University

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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Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Aidan Deneen· 1 shared Alexandra PapamichailiD· 1 shared Aman Y. HusbandsiD· 1 shared Andrea L. CaseiD· 1 shared Arnan Pawawongsak· 1 shared Asia T. HightoweriD· 1 shared Charles H. CannoniD· 1 shared Christopher B. BlackwoodiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPlant Biology

Aidan Deneen

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1 paper

Recent·Most cited

Procrustean pseudo-landmark methods in Python to measure massive quantities of leaf shape data

Asia T. Hightower, Svea Hall, Ricardo Andres Urquidi Camacho, Alexandra Papamichail, Evan Adamski, Claudia Colligan, Aidan Deneen, Georgia Dunn, Justine Haziza, Claire Henley, Arnan Pawawongsak, Lachlann Simms, Sean Ward, Manica Balant, Christopher B. Blackwood, , Daniel H. Chitwood

The paper introduces a Python-based method using pseudo-landmarks and Procrustes analysis to compare leaf shapes across species and development, showing shape transitions and genetic correlations.

Applications in Plant Sciences · Mar 1, 2026Peer-reviewedPlant Biology