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CuticleTrace: A toolkit for capturing cell outlines from leaf cuticle with implications for paleoecology and paleoclimatology.
Lloyd, Benjamin A; Barclay, Richard S; Dunn, Regan E; Currano, Ellen D; Mohamaad, Ayuni I; Skersies, Kymbre; Punyasena, Surangi W.
Afiliación
  • Lloyd BA; Department of Earth and Space Sciences University of Washington Johnson Hall Rm-070, Box 351310, 4000 15th Ave. NE Seattle Washington 98195-1310 USA.
  • Barclay RS; Smithsonian Environmental Research Center Smithsonian Institution 647 Contees Wharf Rd. Edgewater Maryland 21037-0028 USA.
  • Dunn RE; Department of Paleobiology, National Museum of Natural History Smithsonian Institution 1000 Madison Dr. NW Washington D.C. 20560 USA.
  • Currano ED; La Brea Tar Pits and Museum Natural History Museums of Los Angeles County 5801 S. Wilshire Blvd. Los Angeles California 90036 USA.
  • Mohamaad AI; Department of Earth Sciences University of Southern California 3551 Trousdale Parkway Los Angeles California 90089 USA.
  • Skersies K; Department of Botany University of Wyoming 1000 E. University Ave. Laramie Wyoming 82071 USA.
  • Punyasena SW; Department of Botany University of Wyoming 1000 E. University Ave. Laramie Wyoming 82071 USA.
Appl Plant Sci ; 12(1): e11566, 2024.
Article en En | MEDLINE | ID: mdl-38369978
ABSTRACT
Premise Leaf epidermal cell morphology is closely tied to the evolutionary history of plants and their growth environments and is therefore of interest to many plant biologists. However, cell measurement can be time consuming and restrictive with current methods. CuticleTrace is a suite of Fiji and R-based functions that streamlines and automates the segmentation and measurement of epidermal pavement cells across a wide range of cell morphologies and image qualities. Methods and

Results:

We evaluated CuticleTrace-generated measurements against those from alternate automated methods and expert and undergraduate hand tracings across a taxonomically diverse 50-image data set of variable image qualities. We observed ~93% statistical agreement between CuticleTrace and expert hand-traced measurements, outperforming alternate methods.

Conclusions:

CuticleTrace is a broadly applicable, modular, and customizable tool that integrates data visualization and cell shape measurement with image segmentation, lowering the barrier to high-throughput studies of epidermal morphology by vastly decreasing the labor investment required to generate high-quality cell shape data sets.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Appl Plant Sci Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Appl Plant Sci Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos