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This repository contains a collection of Python Jupyter notebooks for a one afternoon course in Image Analysis using Python and Napari.

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BiAPoL/DIGS-BB_LM_Course_Bio-Image_Analysis_2023

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DIGS-BB Light Microscopy Course: Bio-image Analysis

Introduction to Bio-image Analysis

In the first session we will go through the basics of bio-image analysis. We will learn why image analysis workflows should be quantitative, objective, reproducible, repeatable, replicable and reliable.

Download introduction slides

Download filtering and segmentation slides

Download feature extraction slides

Google Colab

In this course we will execute image analysis workflows on Google Colab. Make sure you have a Google account before clicking on one of the following links.

Note: While using Google colab is covenient for teaching, it is not recommended to use it in daily research practice. The reason is that we must upload our research data to the internat in order to use Google colab. To avoid this, install mambaforge and Jupyter lab on your local computer or workstation as explained in this blog post and run notebooks for your science there.

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This repository contains a collection of Python Jupyter notebooks for a one afternoon course in Image Analysis using Python and Napari.

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