Abstract
This imaging lunch is designed for individuals with a basic understanding of Python who are eager to delve into scientific image processing. Our session will cover a comprehensive range of topics, including loading and saving images, representing images as arrays, visualizing images, cropping and slicing, utilizing masks and label images, and exploring various packages for advanced image manipulation. Additionally, we will address the handling of 2D, 3D, and time-lapse images to provide a well-rounded understanding of scientific images in Python.
You can run the workshop material directly in your browser with Juptyerlite:
➡️ Jupyterlite
Make sure you have a working Python installation on your computer.
First, download and unzip the workshop material:
⏬ Download
Then, open a terminal window and navigate to the workshop folder:
cd C:/.../ImagingLunch_ImagesInPython
From there, install the Python requirements:
pip install -r requirements.txt
Finally, start a Jupyterlab session:
jupyter lab