QuPath - Bioimage analysis & digital pathology
-
Updated
Sep 20, 2024 - Java
QuPath - Bioimage analysis & digital pathology
This remote module contains classes related to segmentation of biological cells. It has classes to represent cells' shape, color, and growth state. It also has classes to represent a cell genome, whose expression is modeled by differential equations.
A web-based application for Cell Shape Analysis.
Integrated Cell project implemented in pytorch
manipulation and analysis of phase microscopy data
High Intensity Peak Analysis for detecting High Intensity Cells
GO Webapp for the HIPA Tool
Shape-Out has been superseded by Shape-Out 2.
Deep Learning based segmentation and tracking to understand the dynamics and morphology of cells over time.
HIPA Tool GUI
Track 2D cell motion and mitosis in time-lapse microscopy
Visualize similar cells on a 2D plot using t-SNE
A small tool in python to read the bright-field image data and the phase image data recovered from a Digital holographic microscope (DHM) and segment the nuclei to calculate physical parameters like roughness and volume.
Convert experiment dataset of cells into one csv format.
Add a description, image, and links to the cell-analysis topic page so that developers can more easily learn about it.
To associate your repository with the cell-analysis topic, visit your repo's landing page and select "manage topics."