Image Analysis Pipeline for SHP2 Intensity Quantification in GFP+ and GFP- Regions
Abstract
This repository contains a Python-based image analysis pipeline designed to quantify SHP2 protein intensity in different compartments (GFP-positive and GFP-negative regions) within microscopy images. The code provides an interactive workflow with Napari integration for manual mask correction and validation.
Fields of Study & Subjects
Cell Image Analysis Techniques
Advanced Fluorescence Microscopy Techniques
Image Processing Techniques and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026
- Language
- EN
- Document type
- Book