Encoder-Decoder Cell and Nuclei segmentation models

ImageJ macro for the analysis of foci (e.g. DNA damage) in nuclei/cells

The code implementation for cell segmentation

Cell (Nuclei) Detection in ROI using Stardist

Intel OpenVINO extension for QuPath, a digital pathology platform

Instance & Semantic сегментация клеток и ядер на цитологических изображениях (мазок Папаниколау)

Package using StarDist and Python that performs object detection and spatial analysis on H&E images

Pipeline meant to segment and classify organoids, or any other blob-like structures (star-convex polygons). Microscopy images can be easily annotated in QuPath and automatically processed afterwards to count the class distribution within each image using this pipeline (TIF files will be converted to grayscale)

This repository provides StarDist and CellPose models, meticulously trained on a large dataset of Pancreatic Ductal Adenocarcinoma organoids co-cultured with immune cells. Pre-print available at https://www.biorxiv.org/content/10.1101/2024.02.12.580032v1. Demo application available at https://segmentorganoids.streamlit.app/

Quantification of Myogenic Differentiation using Deep Learning

Myovision Consulting Report

Cell segmentations using Stardist and Watershed method.

script to create labels (for training a deep neural network) based on nucleus segmentation using StarDist (still experimental)

Integration of Stardist algorithm as a Cytomine task

NUCLEI SEGMENTATION USING STARDIST AND PYTHON IN GOOGLE COLAB