Dotmatics

Flow Cytometry With OMIQ by Dotmatics

OMIQ by Dotmatics is a modular, secure flow cytometry analysis platform offering advanced machine learning tools for dimensionality reduction, clustering, statistical differential analysis, trajectory inference, and automated data cleaning, enabling fast, reproducible, and customizable workflows with GPU acceleration and enterprise-grade data protection.

Explore the Future of Flow Cytometry

Use OMIQ's suite of machine learning tools, cutting-edge algorithms, and interactive visualizations to bring order to complex high-dimensional data. OMIQ's modular architecture ensures that you have access to the latest analytical innovations as they happen.

All analysis in OMIQ is stored as a traceable sequence of steps, making it easy to reproduce, trace, and audit. Customize your workflow with plugins, and your code can run inside OMIQ.

Get to results faster with data and algorithms generated by your team that can be easily shared with the world or kept private for your enterprise only. Access is based on customized permission levels and protected by enterprise-grade security, including end-to-end and at-rest encryption and organizational security-in-depth.

Explore the Capabilities of OMIQ

  • Dimensionality Reduction: Use OMIQ's suite of machine learning tools to bring order to complex high-dimensional data. Run t-SNE, UMAP, PCA, EmbedSOM, FIt-SNE, TriMap, and more. Use opt-SNE to remove the guesswork with settings and get great results every time. Take advantage of GPU-accelerated processing options to get results over 100x faster in some cases.
  • Clustering: Categorize data into populations automatically. Use FlowSOM, Phenograph, PARC, SPADE, ClusterX, and more. Use graph analysis or heatmaps to deepen your understanding of structure and patterns within data.
  • Statistical Differential Analysis: Cut through the noise and find what matters. OMIQ has visualizations and statistical methods to find the strongest stratifying signals aligned with clinical or experimental metadata.
  • Trajectory Inference: Discover and visualize paths of cellular development. Understand differentiation switch points and cell fate.
  • Automated Data Cleaning: Everything starts with clean data. Incorporate algorithms such as flowAI and flowCut into your workflow to help automate and standardize this key step of analysis.
  • Normalization: Normalize data as part of your workflow. Tame batch effects and other unwanted signal differences between files in order to improve comparability for analysis and visualization.

Learn More About OMIQ

Discover more of the features and benefits of modern flow cytometry software.

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