An Introduction to Web-based Methodologies
Technological evolution poises modern, web-based methods as the future of bioimage analysis. Moreover, web-based methods are better suited to solve challenges such as extremely large images and reproducibility. In this tutorial, we will introduce the concepts, approaches, and tools for modern, web-based open source bioimage analysis. An introduction to the fundamentals of web-based imaging is covered through the topics of web-based image visualization, image data storage for the web, distributed image processing in the cloud, asynchronous programming, and re-usable deep learning components on the web. Content will be presented in Jupyter notebook modules consisting of oral presentations, interactive material, and hands-on exercises.
Install mambaforge, then:
git clone https://github.com/thewtex/modern-insights-from-microscopy-images
cd modern-insights-from-microscopy-images
mamba env create --file environment.yml --name i2k-web-2022
conda activate i2k-web-2022
python -m jupyter notebook