Article
Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet.
Biochemical and biophysical research communications - 24 Sept 2020
Li Honghan, Matsunaga Daiki, Matsui Tsubasa S, Aosaki Hiroki, Deguchi Shinji
Abstract excerpt
We propose an image based cellular contractile force evaluation method using a machine learning technique. We use a special substrate that exhibits wrinkles when cells grab the substrate and contract, and the wrinkles can be used to visualize the force magnitude and direction. In order to extract wrinkles from the microscope images, we develop a new CNN (convolutional neural network) architecture SW-UNet...
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