HistoQuest

HistoQuest is a tissue cytometry software tool developed by TissueGnostics for single-cell analysis of brightfield microscopy images. It is designed for use in biological and clinical research, supporting the analysis of tissue sections, tissue microarrays (TMAs), confluent cells, and smears stained with immunohistochemical (IHC) or histochemical (HC) methods. HistoQuest is available both as part of the TissueGnostics platform and as a standalone software.

The software offers four core analysis modes: cell-based analysis covering nucleus, cytoplasm, and membrane compartments; stained area quantification; small dot detection (such as CISH signals); and a skeleton algorithm for membrane staining. Context-based analysis is supported through manual definition of regions of interest (ROIs), and TMA detection and analysis can be performed on imported image files.

Analysis Capabilities

• Cell-based analysis of nucleus, cytoplasm, and membrane compartments
• Stained area measurements across tissue regions
• Small dot detection, applicable to methods such as CISH
• Skeleton algorithm for membrane staining analysis
• Nuclear segmentation and total area measurements
• Cytoplasmic and membrane-level measurements
• Detection and analysis of TMAs on imported files
• Up to 18 measured metrics per marker

Features and Workflow

• Brightfield image analysis
• Color separation via spectral unmixing
• Analysis of all types of IHC and HC stainings
• Contextual image analysis through manual ROI definition
• Support for tissue sections, TMAs, confluent cells, and smears
• Image and data comparison tools
• Streamlined analysis workflow

HistoQuest is developed by TissueGnostics GmbH, based in Vienna, Austria, a company focused on whole-slide imaging and image analysis solutions for biological and clinical research. The software is available as a standalone application in addition to its integration within the broader TissueGnostics product ecosystem.