Results 241 to 250 of about 1,253,859 (341)

mvh: An R tool to assemble and organize virtual herbaria from openly available specimen images

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Recent advances in imaging herbarium specimens have enhanced their use in biodiversity studies. However, user‐friendly tools that facilitate the assembly of customized sets of herbarium specimen images on personal devices are still lacking.
Thais Vasconcelos, James D. Boyko
wiley   +1 more source

Looking to the past to inform the future: What eDNA from herbarium specimens can tell us about plant–animal interactions

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise The importance of natural history collections in modern ecological and genetic research cannot be overstated. Herbarium specimens provide historical information that can be used to investigate community ecology, phenology, and population genetics. In this study, environmental DNA (eDNA) metabarcoding and next‐generation sequencing were
Christopher Waters   +2 more
wiley   +1 more source

Enhancing plant morphological trait identification in herbarium collections through deep learning–based segmentation

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Deep learning has become increasingly important in the analysis of digitized herbarium collections, which comprise millions of scans that provide valuable resources for studying plant evolution and biodiversity. However, leveraging deep learning algorithms to analyze these scans presents significant challenges, partly due to the ...
Hanane Ariouat   +4 more
wiley   +1 more source

Analysis of plant metabolomics data using identification‐free approaches

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Plant metabolomes are structurally diverse. One of the most popular techniques for sampling this diversity is liquid chromatography–mass spectrometry (LC‐MS), which typically detects thousands of peaks from single organ extracts, many representing true metabolites.
Xinyu Yuan   +2 more
wiley   +1 more source

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