Data from: StomataCounter: a neural network for automatic stomata identification and counting

Karl C. Fetter, Sven Eberhardt, Rich S. Barclay, Scott Wing & Stephen R. Keller
Stomata regulate important physiological processes in plants and are often phenotyped by researchers in diverse fields of plant biology. Currently, there are no user friendly, fully-automated methods to perform the task of identifying and counting stomata, and stomata density is generally estimated by manually counting stomata. We introduce StomataCounter, an automated stomata counting system using a deep convolutional neural network to identify stomata in a variety of different microscopic images. We use a human-in-the-loop approach...

Registration Year

  • 2019
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Resource Types

  • Dataset
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Affiliations

  • Department of Plant Biology
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  • Smithsonian Institution
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  • Amazon (United States)
    1