Epredia™ 3DHistech QuantCenter Image Analysis Modules - Complete Package - 1 User

Description

• 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
• Complete package includes: HistoQuant: an image segmentation module which identifies stained tissue elements based on color and intensity features
• PatternQuant: a trainable pattern recognition module for tissue classification, tissue pre-segmentation and identification of several tissue structures
• PatternQuantPlus: 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: designed for cell nuclei detection and quantification of IHC stained samples
• MembraneQuant: a cell membrane detection software application that can be used for the quantification of IHC stained histological samples
• CellQuant: a versatile cell detection application, an optimal solution for investigating various IHC stainings (best suited for Ki67 slides)
• DensitoQuant: an easy-to-use, fast and accurate, stain-intensity-based IHC quantification tool
• FISHQuant: 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: quantifies CISH (Chromogenic In Situ Hybridization) stained samples
• 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: High-level interface for storage, slides and annotations
• License for 1 user - Research use only.