PatternQuant Module in QuantCenter

Color- and pattern-based image analysis solutions are used to identify different tissue elements in stained tissue. Instead of the time-consuming manual annotation, automated detection and annotation of a region of interest is available with a quick training on relevant tissue samples.

PatternQuant is a trainable pattern recognition module for tissue classification, tissue pre-segmentation and identification of several tissue structures. The artificial intelligence-based algorithm is able to learn and classify various tissue types based on their texture patterns and colour features. This module can analyze fluorescent and brightfield slides.

The quantification workflow in QuantCenter