Phenoplex
Image analysis workflow for multiplexed tissue images, supporting spatial biology and tumor microenvironment studies.
Overview
Phenoplex offers a comprehensive image analysis workflow for multiplex users engaged in spatial biology, particularly within the tumor microenvironment. It supports advanced staining technologies like imaging mass cytometry and high-plex fluorescence panels, making it easier to derive meaningful insights from complex data.
This software, built on Visiopharm’s AI platform, facilitates new discoveries and reproducibility across different plex levels through its full workflow solution. It enables accurate cell detection via pre-trained systems, and users can segment tissue regions with AI-based approaches for enhanced data insights.
Key Features
- Versatile Phenotyping: Supports automated phenotyping for up to 8 markers and user-guided phenotyping for 8–40+ markers.
- Interactive Exploration: Includes data exploration tools for continuous verification and data analysis, with graphs customizable by tissue compartment, phenotype, biomarker, or cell.
- Comprehensive Visualization: Allows importing and organizing images from major multiplex formats, enabling user-defined color channel groups and facilitating initial QC.
- Advanced Detection: Employs deep-learning based nuclear detection and cell segmentation tailored to specific needs, with options for algorithm enhancement.
- Thorough Analysis: Offers spatial analysis of phenotypes and tissue classes, along with neighborhood analyses and cell density correlations.
- Data Export: Exports actionable data and images in standard formats, suitable for further analysis in external pipelines.
The software provides intelligent data handling capabilities, such as creating zones around areas of interest and quantifying cell counts to understand expression patterns. Users can generate and export results efficiently, supporting research publication and further data processing.
Phenoplex aims to streamline spatial biology image analysis, increase accuracy, and facilitate research workflows in a user-friendly manner, as highlighted by scientists using its features for rapid and precise cell phenotyping and quality control.