AI Assisted Tool for CryoEM Segmentation
Here we provide a tutorial to interactively segment a cellular cryo-electron tomography image using the AI assisted segmentation tool of the Segmentation+ workroom.
The AI Assisted Segmentation tool helps users to segment complex images with minimal effort. This interactive approach allows you to select from a range of models with the AI Assisted Segmentation tool doing most of the work segmenting the image.
In this tutorial, the AI Assisted Segmentation tool is used to interactively segment and reproduce the results of the EMD-8594 cryo-EM image that was provided in [1].
First, we label a minimal part of the image, then add ROIs that will be used to train the AI-assisted segmentation tool. The tool can predict all of the materials to create a label image of the full sample volume. After the first result, the user can gradually improve the segmentation using the AI Assisted segmentation again or the other tools available in the Segmentation+ workroom.
[1] Muyuan Chen, Wei Dai, Stella Y Sun, Darius Jonasch, Cynthia Y He, Michael F Schmid, Wah Chiu & Steven J Ludtke, Convolutional neural networks for automated annotation of cellular cryo-electron tomograms, Nature Methods 14";" 983-985, 2017.