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Segment Anything for Microscopy | Anwai Archit | October 28th, Virtual I2K 2024

Authors: Anwai Archit, University of Göttingen;
Luca Freckmann, University of Göttingen;
Constantin Pape, University of Göttingen

Description: The workshop will show how Segment Anything, a deep learning model for interactive instance segmentation, can applied to segmentation and annotation tasks in biomedical images. We will first give an overview of different approaches that apply this method in the biomedical domain. Then we will introduce our tool, Segment Anything for Microscopy, which introduces specialized models for microscopy and provides a napari plugin for automatic and interactive data annotation.
The main part of the workshop will then consist of a hands-on tutorial that teaches the participants how to use the tool. We will first work on example data and at the end of the workshop give the opportunity to work on participant data. Pre-Workshop Instructions: We have prepared an overview document for the workshop: https://github.com/computational-cell.... Please have a look at it and go through the preparation steps. Let us know if you run into any issues with this or if you have any further questions.

Keywords: segment-anything, segmentation, instance-segmentation, napari, napari-plugin