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Home / Research / QuantCenter and Applications

QuantCenter and Applications

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.

Individual applications created in QuantCenter can also be uploaded to SlideManager, for convenient execution on the research study samples.

quantcenter modules

Quantification Modules

QuantCenter provides a range of image analysis modules that can be freely combined for best results.

HistoQuant

HistoQuant is an image segmentation module which identifies stained tissue elements based on color and intensity features.

PatternQuant

PatternQuant is a trainable pattern recognition module for tissue classification, tissue pre-segmentation and identification of several tissue structures.

PatternQuantPlus

PatternQuant Plus is an improved alternative to PatternQuant for more challenging samples and for complex tissue segmentation projects when thorough training using deep learning on multiple slides is needed.

NuclearQuant

NuclearQuant is designed for cell nuclei detection and quantification of IHC stained samples.

MembraneQuant

MembraneQuant is a cell membrane detection software application that can be used for the quantification of IHC stained histological samples.

CellQuant

The Swiss army knife of 3DHISTECH’s image analysis tools, CellQuant is a versatile cell detection application, an optimal solution for investigating various IHC stainings (best suited for Ki67 slides).

DensitoQuant

DensitoQuant is an easy-to-use, fast and accurate, stain-intensity-based IHC quantification tool.

FISHQuant

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.

CISHQuant

CISHQuant quantifies CISH (Chromogenic In Situ Hybridization) stained samples.

ScriptQuant

ScriptQuant 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.

SimpleSlideInterface

SimpleSlideInterface enables easy access to slide-related data, allowing you to develop your own application.

Quantification Tools

QuantCenter also provides assistance for studies performed on multiple slides, quantification processes can be performed both on the client and server side, and their results can be examined with data mining tools.

Server-side Analysis – QuantServer

QuantServer module allows you to execute processing and store the analyzation results on a dedicated server.

Batch Analysis – Processing Queue

Using the batch analysis module, multiple digital slides can be examined in the background on your computer, saving a significant amount of time.

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.

Quantification Examples

The gallery below contains some examples of how widely our quantification modules can be used.

Bovine pulmonary artery endothelial cell quantification by HistoQuant

Cyprinus carpio epithelium analysis by PatternQuant

Elongated villous structure with multi-layered nuclei analysis by PatternQuant

Estrogen stained infiltrating ductal carcinoma in breast tissue by PatternQuant and NuclearQuant

Estrogen-Her2 stained breast tissue analysis by CellQuant

Golgi stained neuron network detection in the rat cortex by HistoQuant

Nuclei classification in the tumour area of progresterone stained breast tissue by NuclearQuant

Her2 stained breast tissue analysis by DensitoQuant

Her2-Cep17 DNA stained breast tissue classification by HistoQuant

Nuclei classification on cytology smear sample by HistoQuant

Progresterone stained cytoplasm classification by CellQuant

Testicle organ with sperm cells analysis by HistoQuant

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