QuantCenter is an image analysis platform designed for the digital whole-slide quantification process. The workflow fits seamlessly in the conventional microscopic investigation. With the help of this computer-aided image analysis tool, accurate, fast, and high-quality analytical results can be generated in a shorter time.
QuantCenter is intended for use in tissue classification, IHC quantification and molecular pathology. It consists of eight individual modules:
Colour- 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.
HistoQuant is a histological segmentation module which identifies relevant histological structures or tissue elements based on the colour and intensity of the image pixels. This module can analyze fluorescent and brightfield slides. Furthermore, the co-localized pixels can also be detected in double-stained tissue.
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.
A special IHC colour calibration option is integrated into these quantification modules, facilitating software integration to the local laboratory. By applying this function the software can be calibrated to the sample quality (local laboratory stain protocol, or different stainer), resulting in an adequate measurement.
NuclearQuant is designed for cell nuclei detection and quantification of IHC stained samples. NuclearQuant measures several morphological features besides stain intensity. The cell nuclei classification and the final score are calculated by the intensity score and the proportion score.
This module has IVD approval for the analysis of Estrogen- and Progesterone-stained breast tissue samples.
MembraneQuant is a cell membrane detection software application that can be used for the quantification of IHC stained histological samples. This module measures cell morphology and stain density, reports intensity-based core ranges, overall scores and positivity percentages (including H-Score), distinguishing the continuous membrane stain from the moderate stain.
This module has IVD approval for the quantification of Her2 expression in breast tissue samples.
CellQuant is a cell detection application, an optimal solution for investigating various IHC stainings. The application is adequate for cell nuclei, cytoplasmic and membrane marker quantification. The software reports the results like positivity ranges of cell nuclei, cytoplasm or membrane signals.
DensitoQuant is an easy-to-use, fast and accurate, stain-intensity-based IHC quantification tool. The application identifies the positive stain, based on an automatic colour separation method through which individual positive pixels are counted and classified based on intensity and threshold ranges. So finally an H-Score can be calculated based on the proportion of the positive and negative pixels.
Fluorescent in situ hybridization (FISH) and Chromogenic in situ hybridization (CISH) are routinely used methods in histopathological diagnostics. The visual evaluation of these samples is a difficult task, and typically a time-consuming process and prone to human errors that can be eliminated by using image analysis solutions.
FISHQuant is a powerful cancer and cytogenetic application dedicated to quantifying FISH (Fluorescent In Situ Hybridization) signals on tissue samples of solid tumour diseases like breast cancer, lung cancer, sarcoma symptoms, and lymphomas. This module is suitable for examining haematological tumours. FISHQuant classifies the interphase and metaphase cells individually for an even more comprehensive evaluation. This module has IVD approval.
CISHQuant quantifies CISH (Chromogenic In Situ Hybridization) stained samples. The algorithm can be calibrated to the staining protocol and quality by using an integrated colour setting tool. This module is a suitable module for examining gene amplification, deletion and chromosome aberration.
Using the batch analysis mode, multiple digital slides can be examined in the background, saving a significant amount of time. Measurements can be run after slides, annotations and profiles have been selected. All measurement results can be exported into an Excel file.
Data Visualization (DVT)
An integrated data visualization mode is available for each module. The result can be visualized on a table, scatterplot, pie chart or a histogram by using this feature. There are integrated galleries where the detected and classified cells can be presented.
Her2stain quantification using PatternQuant and MembraneQuant
Breast Cancer Tissue Analysis using PatternQuant and NuclearQuant