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. Website presenting the available image analysis softwares and models for plants.

May 6, 2019 · 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 to train and refine a neural network on a taxonomically diverse collection of microscopic images.

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.

We introduce StomataCounter, an automated stomata counting system using a deep con-volutional neural network to identify stomata in a variety of different microscopic images. We use a human-in-the-loop approach to train and refine a neural network on a taxonomically diverse collection of microscopic images.

May 21, 2018 · 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...

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 to train and refine a neural network on a taxonomically diverse collection of microscopic images.

May 7, 2019 · StomataCounter: a neural network for automatic stomata identification and counting by Fetter K. C., Eberhardt S., Barclay R. S., Wing S., Keller S. R. (2019) Karl C ...

Stomata Counter Finds and counts stomata in microscopic images of leaves. This is code for developers who intend to build their own web service or train their own models.

May 6, 2019 · 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...

May 6, 2019 · We use a human-in-the-loop approach to train and refine a neural network on a taxonomically diverse collection of microscopic images. Our network achieves 98.1% identification accuracy on Ginkgo scanning electron microscropy micrographs, and 94.2% transfer accuracy when tested on untrained species.