University of Vermont & Brown University


Measured variables count, stomata
Operating system web-service
Licence open-source, freeware
Automation level automated
Plant requirements any
Export formats csv
Other information

Scientific article(s)

StomataCounter: a neural network for automatic stomata identification and counting
Karl C. Fetter, Sven Eberhardt, Rich S. Barclay, Scott Wing, Stephen R. Keller
New Phytologist, 2019 View paper


StomataCounter is a tool to work with plant epidermal micrographs to phenotype stomatal density. Supporting this method is a convolutional neural network trained about about 4,700 micrographs from 700 species of plants.

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