OMIQ
AI-powered flow cytometry analysis with machine learning, dimensionality reduction, clustering, and automated data processing for complex high-dimensional data.
Overview
OMIQ by Dotmatics is a modern, cloud-native flow cytometry analysis platform designed for scientists who need to bridge machine learning and analytical pipelines with classical manual analysis. Built for research teams working with complex, high-dimensional cytometry data, OMIQ combines cutting-edge algorithms, interactive visualizations, and a modular architecture to deliver the latest analytical innovations as they emerge.
All analysis performed in OMIQ is stored as a traceable sequence of steps, making it straightforward to reproduce, audit, and share results. The platform supports customizable permission levels and is protected by enterprise-grade security, including end-to-end and at-rest encryption as well as organizational security-in-depth. Teams can leverage data and algorithms generated internally, choosing to share them broadly or keep them private within their enterprise.
Dimensionality Reduction
- Use a comprehensive suite of machine learning tools to bring order to complex high-dimensional cytometry data
- Run industry-standard algorithms including t-SNE, UMAP, PCA, EmbedSOM, FIt-SNE, TriMap, and more
- Use opt-SNE to automatically optimize settings and remove guesswork from the analysis process
- Take advantage of GPU-accelerated processing options to achieve results over 100x faster in some cases
Clustering
- Automatically categorize data into populations using a range of clustering algorithms
- Supported methods include FlowSOM, Phenograph, PARC, SPADE, ClusterX, and more
- Use graph analysis or heatmaps to deepen understanding of structure and patterns within data
Statistical Differential Analysis
- Identify the strongest stratifying signals within complex datasets
- Leverage built-in visualizations and statistical methods aligned with clinical or experimental metadata
- Cut through noise to surface what matters most in your data
Trajectory Inference
- Discover and visualize paths of cellular development
- Understand differentiation switch points and cell fate decisions
Automated Data Cleaning
- Incorporate algorithms such as flowAI and flowCut into your workflow
- Automate and standardize the critical data cleaning step of analysis
Normalization
- Normalize data as an integrated part of your analytical workflow
- Address batch effects and unwanted signal differences between files to improve comparability for analysis and visualization
Workflow and Collaboration Features
- Modular architecture ensures access to the latest analytical innovations as they become available
- Customize workflows with plugins, and run your own code directly inside OMIQ
- All analysis is stored as a traceable, reproducible sequence of steps to support auditing and compliance
- Share algorithms and datasets with collaborators or restrict access to enterprise users only
OMIQ is available as part of the Dotmatics platform ecosystem, including integration with the centralized Luma platform via OMIQ Luma for cloud-native flow cytometry analysis, automated data capture, and connected results management. It is suited for biology discovery teams requiring scalable, secure, and reproducible cytometry workflows.
