Image Analysis Software Module

QuantCenter is a multiple-module image analysis platform designed for whole-slide quantification in histopathology and molecular pathology. Thanks to its wide range of linkable modules and the ability to create their own image analysis algorithm, QuantCenter provides researchers with maximum flexibility in quantitative image analysis, contributing to world-class research results.

The latest available version of QuantCenter is 2.3. Please get in touch with us if you are interested!

QuantCenter is intended for use in tissue classification, IHC quantification and molecular pathology. It consists of ten individual modules that can be freely combined for world-class research results:

ScriptQuant: A unique tool for maximum flexibility

ScriptQuant is a brand-new image analysis module for QuantCenter. It provides a shell for user-created image analysis scripts in Python for maximum flexibility for the research user, enabling them to run their own image analysis algorithms within the QuantCenter framework.

Key Features

Arbitrary script editor (VS Code by Microsoft is recommended)

The user-created script can be saved into a scenario and handled like one

Fast visual feedback: write your code and see the results immediately!

ScriptQuant can be extended with external libraries (e.g. OpenCV, TensorFlow…)

Well-documented API and use case examples

ScriptQuant may provide a gateway for 3rd party AI developers

Quantification results can be fed back into the 3DHISTECH infrastructure:

Storage of quantification results (polygons, objects, regions, measured values)

Visualization in SlideViewer as an overlay

Statistics and Data visualization