Labeling Cells with napari and Python: A Step-by-Step Guide for BioImage Analysis

Author(s): MicroBioscopicData (by Alexandros Athanasopoulos)

Originally published on Towards AI.

Labeling Cells with napari and Python: A Step-by-Step Guide for BioImage Analysis

In this tutorial, we will go through a step-by-step guide on how to label cells using napari, an interactive multi-dimensional image viewer for Python, ideal for microscopy data. This hands-on guide is designed for biologists, data scientists, and image analysts, and will cover everything we need to know — from loading microscopy images into Python, to navigating napari’s labeling tools, and finally saving our labeled images in structured folders for downstream analysis or machine/deep learning.

This article provides a detailed tutorial on using napari and Python for labeling cells in microscopy images. It covers folder structuring for image organization, loading and visualizing images, creating label layers, and exporting these labels. The tutorial is designed to be beginner-friendly while requiring a basic understanding of Python and microscopy concepts, with practical examples demonstrating how to annotate structures within the images and manage labeled datasets effectively for future image analysis.

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Published via Towards AI