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# Ultrack I2K 2024 Tutorial | ||
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# TODO: review this | ||
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. | ||
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Use the sidebar to navigate to the materials. | ||
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## Instructors | ||
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The instructors for this workshop are | ||
- Jordão Bragantini | ||
- Teun A.P.M. Huijben | ||
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## Goals | ||
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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. | ||
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## Pre-tutorial setup | ||
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So that we can best utilize our time together, please [download this | ||
repository](https://github.com/royerlab/ultrack-i2k2024), then | ||
[install the required dependencies](install-dependencies). |