ArticleApplications in plant sciences
Garryanalyzer: A morphometric workflow and open-source ImageJ plug-in for quantitative morphological analysis of Pacific Northwest
Article in Applications in plant sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Garryanalyzer: A morphometric workflow and open-source ImageJ plug-in for quantitative morphological analysis of Pacific NorthwestApplications in plant sciencesArticle
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3 authors.
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Abstract
Premise: Accurate species identification is crucial for ecological restoration and can be especially challenging for understudied non-model species. Methods: We measured leaf morphological traits sampled from herbarium collections in their native ranges using the digital morphometric tools MorphoLeaf and Tomato Analyzer. We then used Lasso logistic analysis to generate a predictive model and tested it on leaves from Portland, Oregon. To streamline this species detection process, we developed Garryanalyzer, an ImageJ plug-in that automatically measures leaf traits and outputs species predictions. Results: Garryanalyzer demonstrated 95% accuracy in predicting the species identity of herbarium specimens of oaks. Garryanalyzer correctly identified all Discussion: Many existing morphometric software are not open source, which makes them unable to be customized to specific study systems. Garryanalyzer is built upon the widely used open-source ImageJ platform. This study also demonstrates a viable workflow for developing similar tools for other ecologically important non-model plant species.
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