CuticleTrace: A toolkit for capturing cell outlines from leaf cuticle with implications for paleoecology and paleoclimatology

• Published in: Applications in plant sciences Vol. 12; no. 1; pp. e11566 - n/a
• Main Authors: Lloyd, Benjamin A., Barclay, Richard S., Dunn, Regan E., Currano, Ellen D., Mohamaad, Ayuni I., Skersies, Kymbre, Punyasena, Surangi W.
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.01.2024; John Wiley and Sons Inc; Wiley
• Subjects: Automation; Batch processing; cell shape; Cell size; cell structures; Cells; Cytology; data collection; data visualization; Datasets; Fiji; high‐throughput phenotyping; image analysis; Image processing; image segmentation; labor; leaf area index; leaf epidermis; Leaves; Macros; Morphology; paleobotany; Paleoclimatology; Paleoecology; pavements; Plant cuticle; Software; Software Note; Taxonomy; Fiji; image processing; paleobotany; paleoecology; cell shape; image segmentation; leaf epidermis; leaf area index; high‐throughput phenotyping

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...