Single-Cell Fluorescence Image Analysis and Classification Pipeline
Abstract
This repository contains a MATLAB-based analytical pipeline designed for the segmentation, feature extraction, and quality control of single-cell fluorescence images. The workflow extracts cellular phase separation features and employs a trained logistic regression model to automatically identify and filter for high-quality imaged cells.
Fields of Study & Subjects
Cell Image Analysis Techniques
Advanced Fluorescence Microscopy Techniques
Digital Imaging for Blood Diseases
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 March 2026
- Language
- EN