All Packages

Package Summary
Package
Description
Classes to enable cell detection, implemented with the help of ImageJ as an image processing library.
Classes to help with Tissue Microarray dearraying.
Classes to enable tissue detection by thresholding.
ImageServer implementation using ImageJ as the image reading library.
Image writers, using ImageJ as the writing library.
Static methods that add further processing methods when working with ImageJ images.
Classes to generate superpixels.
Helper classes and static methods for working with ImageJ images.
Feature calculation plugins.
Classes and static methods adding reusable processing and analysis functionality.
Classes to help with calculating features.
Classes and static methods associated with generating and querying heatmaps.
Experimental package to simplify pixel operations for large images.
Package containing interfaces for lazy values.
Package containing LazyValue implementations for PathObject inputs.
Plugins for manipulating objects and ROIs.
Defines helper class for running scripts.
Base classes for defining scripting languages that QuPath can support.
Detection plugins using OpenCV.
QuPath classes to use OpenCV's DNN module.
Classes for feature calculation using OpenCV.
Support for serializing and deserializing OpenCV objects.
QuPath classes to apply machine learning to pixels and objects using OpenCV.
QuPath object classifiers using OpenCV.
Extract object features using OpenCV.
QuPath pixel classifiers using OpenCV.
Image operations, implemented with OpenCV.
Additional processing methods for use with OpenCV Mats.