3DHISTECH QuantCenter Software

3DHISTECH QuantCenter Software

$50.00

SKU: 3DQCSW Category:

Description

Flexible and high-precision image analysis modules for whole-slide quantification in histopathology and molecular pathology.

Additional information

Brightfield vs Fluorescence

Brightfield & Fluorescence, Brightfield, Fluorescence

Applications

Intuitive software tool to De-array TMA cores into separate WSI's. Automated TMA core detection algorithm and import feature, Designed for cell nuclei detection and quantification of IHC-stained samples, Detects cell membranes and quantifies IHC-stained histological samples, Quantifies FISH (Fluorescent In Situ Hybridization) signals on tissue samples of solid tumors, An enhanced version of PatternQuant, utilizing deep learning for complex tissue segmentation projects, Identifies stained tissue elements based on color and intensity features, Versatile and easy-to-use tool for stain-intensity-based IHC quantification such as DAB – hematoxylin-stained slides, Includes TMA Module, PatternQuant, NuclearQuant, MembraneQuant and DensitoQuant, Includes NuclearQuant, MembraneQuant and DensitoQuant, Includes HistoQuant and FISHquant, Includes all QuantCenter modules, Exporting region of interest from whole slide image and converted to DICOM using Snapshot feature in SlideViewer, File format conversion tool for multi-vendor compatibility across different digital pathology systems. Includes all file types offered by 3DHistech for 1 workstation, DICOM file format license for digital slide scanner, File format conversion tool for multi-vendor compatibility across different digital pathology systems. Includes all file types offered by 3DHistech for unlimited workstation, Offloads processing to a dedicated server, enabling simultaneous multi-slide analysis (8 cores), batch processing, and efficient storage management. Includes 9 QuantCenter modules, Explore tissue structures in 3D. It enables seamless 3D reconstructions of 2D serial sections, Viewer for 3D reconstructions from 2D serial sections, A trainable pattern recognition module for tissue classification and pre-segmentation, Quantifies CISH (Chromogenic In Situ Hybridization) stained samples, Versatile cell detection application for various IHC stainings. Including Ki67 samples, Platform for users to run custom image analysis algorithms (Python) within the QuantCenter framework

Licenses

1, 0, 2