Skip to content

MorellThomas/image_analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 

Repository files navigation

Quantitative Image Analysis using Python

Main purpose: Analysing HEK Cell transfections

This code will analyse flourescence microscopy images of cells transfected with flourescently tagged proteins with different localizations. It will output a classic boxplot with scatter for each datapoint and calculate statistical significance for each condition via t-test if the data is normally distributed.

By default, the channels are expected to be in the following order:

  1. Brightfield image
  2. Signal localized in the cytoplasm
  3. Signal localized in the nucleus

Important!

The program assumes the data is in a specific folder and different channels are present as their own unique files. All files should be named starting with an increasing number for each condition.

Folder, file extentions and sample names have to be enterted inside the code!, below the if __name__ == "__main__"

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages