Sven Eberhardt, Karl Fetter


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

Scientific article(s)

StomataCounter: a deep learning method applied to automatic stomatal identification and counting
Karl Fetter, Sven Eberhardt, Rich S Barclay, Scott Wing, Stephen R. Keller
, 2018 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.

Source: StomataCounter webpage

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