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- Expert Insights: Ben Hess on Importing Biological Materials
- U-M Herbarium Publication Spotlight: Dr. Thaís Vasconcelos and Dr. Aly Baumgartner Collaborate on Paper in New Phytologist
- U-M Museum of Zoology Publication Spotlight: Dr. Benjamin Winger's Study on Songbirds
- UMMZ Spotlight: Charlie Engelman Named to TIME’s "100 Most Influential Creators of 2025"
- Herbarium Spotlight: How AI is Transforming Specimen Transcription
- UMMZ Spotlight: A’liya Spinner is helping preserve the future of bees
- Meet the Researchers Driving Discovery Through the Biodiversity Exploration Fund
- EEB and U-M Museum of Natural History Celebrate ID Day
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Scientists who study plant physiology and evolution have a new tool in their toolkit: a machine learning algorithm that can scan digital plant specimen collections and quickly measure leaf size and thickness.
Read all about the U-M Herbarium research team behind the new tool and the resulting paper here.
