High-content Analysis

High-content image acquisition and analysis software solutions

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High-content Analysis

High-content analysis (HCA) with AI-based, modern machine learning

High-content analysis is an approach used to analyze bioimages from automated, high-throughput imaging. Combined with machine learning, it allows scientists to investigate multiple parameters to characterize cellular and 3D organoid phenotypes.
Explore a range of cell-based assays

StratoMineR Advanced Cloud-Based Analytics

An intuitive and powerful platform for phenotypic profiling

StratoMineR Advanced Cloud-Based Analytics

Powerful and intuitive workflows allow users to import high-content imaging data directly into StratoMineR where it is used to generate rich, interactive visualizations using advanced data mining methods. When used with IN Carta Image Analysis Software, it provides robust, quantitative results from complex biological images and datasets utilizing advanced AI technology. Use all of your high-content data to discover, characterize, and analyze phenotypes.

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MetaXpress software for ImageXpress high-content imaging systems

Multi-level analysis tools for a wide range of applications

Introducing the MetaXpress 3D Analysis Toolkit
  • Meet high throughput requirements with a scalable, streamlined workflow
  • Adapt your analysis tools to tackle your toughest problems, including 3D analysis
  • Schedule automatic data transfer between third-party hardware sources and secure database
  • Set up hundreds of routinely used HCS assays using MetaXpress software modules
  • Export data to IN Carta software, leveraging intuitive, modern machine learning

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Latest Resources

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Application for Organoid Research

Resources for High-content Analysis