Image analysis and visualization in Python with scikit-image, napari, and friends#
This tutorial is aimed at folks who have some experience in scientific computing with Python, but are new to image analysis. To get the most out of it, they should have done some work with NumPy arrays — no need to be an expert! — but they don’t need to know an image from a pipe. We will cover the fundamentals of working with images in scientific Python. The tutorial will be split into four parts, of about 45 minutes each, plus breaks.
Use the sidebar to navigate to the materials, and fork this repo if you want to create your own workshop.
Tip
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Instructors#
The instructors for this workshop are
Lars Grüter
Stefan van der Walt
Jordão Bragantini
Erick Martins Ratamero
Peter Sobolewski
Goals#
The aim of this tutorial is to provide an introduction to bioimage analysis with Python, scikit-image and napari. By the end of the tutorial attendees will leave understanding how to work with images in Python, knowing some of the main libraries that can help them do that, and knowing where to get more help if they need it.
Pre-tutorial setup#
So that we can best utilize our time together, please download this repository, then install the required dependencies.