Welcome to NPC Image Analysis’s documentation!

NPC Image Analysis is a Python app for analyzing 3D images of Neural Progenitor Cells (NPCs). In particular, it was made to answer the specific question of analyzing the radial process of the cells. This application aims to allow you to use a default implementation to get you started, but also allows the user to customize the analysis process.

Note

This project is still under active development.

Why NPC Image Analysis?

Originally, this project was aimed to answer a specific question by looking at NPCs in developing zebrafish brains. The purpose of this, what to hopefully eliminate some of the biase that can come with trying to perform image analysis. As the sole developer of this project, I grew attached to continuously iterating on this project. While working on it and trying to explain this image analysis project to my PI, I found that the growing Python scripts might be overwhelming for a non-programmer. Thus, this project has been born to hopefully bridge the gap between trying to analyze the images in a specific context.

This may have other purposes beyond this specific context, so I decided to share it here.

Check out the Usage section for further information.

You can find the source code here

Indices and tables