https://github.com/sydney-informatics-hub/microscopy-segmentation
Electron Microscopy Segmentation - SMM Colab Pilot Study
https://github.com/sydney-informatics-hub/microscopy-segmentation
Last synced: 11 months ago
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Electron Microscopy Segmentation - SMM Colab Pilot Study
- Host: GitHub
- URL: https://github.com/sydney-informatics-hub/microscopy-segmentation
- Owner: Sydney-Informatics-Hub
- License: mit
- Created: 2023-05-05T01:57:57.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-04-02T01:02:43.000Z (about 2 years ago)
- Last Synced: 2025-03-15T22:15:14.737Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 95.5 MB
- Stars: 0
- Watchers: 6
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Microscopy-Segmentation
AI-assisted labeling tools and segmentation models for Electron Microscopy.
## Introduction
This project aims to explore the use of computer vision AI applications to aide in imaging data downstream processing. The project focuses on electron microscopy data and explores the use of AI to assist in segmentation and annotation of data.
The main challenges are:
- Large volumes of electron microscopy data are constantly generated, but segmentation and annotation of data is currently very time consuming and laborious.
- Current processing tools are not well suited to electron microscopy data.
- 2D slices of images are often not aligned, and manual alignment is time consuming and error prone.
## Project Partners:
- SMM and the broader Microscopy Australia
## Attribution and Acknowledgement
Acknowledgments are an important way for us to demonstrate the value we bring to your research. Your research outcomes are vital for ongoing funding of the Sydney Informatics Hub.
If you make use of this software for your research project, please include the following acknowledgment:
“This research was supported by the Sydney Informatics Hub, a Core Research Facility of the University of Sydney."