Flow Cytometry
Integrates and automates flow cytometry data management, enabling seamless data flow, transformation, and accessibility for advanced analysis.
Overview
ZONTAL's Flow Cytometry solution empowers laboratories by integrating and automating data management across all major flow cytometry systems. This platform provides descriptive, predictive, and prescriptive analytics, serving as a single point of integration and automation for efficient data processes.
Key features include the automatic conversion of data into standard formats and the intelligent enrichment and linking of data to streamline experimental workflows. By automating transformations and file copying, ZONTAL ensures data flows seamlessly from entry to execution while maintaining integrity.
In ensuring data integrity, ZONTAL supports the addition of crucial metadata like Project, Experiment, or Sample during data ingestion, which eliminates manual input. It manages datasets comprising Plate Maps, *.fcs, and *.wsp files, ensuring they are ready for downstream analytical applications, stored in a vendor-neutral format.
- Comprehensive Integrations: Seamlessly integrates with systems such as FlowJo™, BD FACSymphony™, Cytek Aurora™, and Miltenyi MACSQuant VYB™, ensuring rapid deployment and compatibility across different applications.
- Data Management and Accessibility: Enables universal data capture and efficient management, with easy retrieval through a comprehensive data catalog organized by project, experiment, or sample.
- Advanced Visualization and Analysis: Offers interactive visualization tools that replace static documents and simplify the reuse of compensation factors and gating strategies, facilitating collaborative verification.
This solution also supports enhanced deployment options with fixed implementation costs and Single Sign-On (SSO) integration, improving user experience and security. Overall, ZONTAL provides a powerful framework to transform scientific workflows, enhancing data access throughout an experiment's lifecycle and paving the way for advanced data science applications.


