Structuring Flow Cytometry Data for an AI-Ready Future
Improving Quality, Traceability, and Integration Across Experimental Modalities with FCS Express and Dotmatics Luma
Flow cytometry is a key research method used in basic R&D, drug discovery, cell and gene therapy, and clinical diagnostics with results often used to make key decisions that impact upstream and downstream experimental design and patient care across a variety of experimental modalities and disciplines.
Currently, there are few tools that enable linking and traceability from flow cytometry data to other domains such as antibody design, chemistry, sequencing, and statistics. Often, tools currently being used rely on unstructured, siloed data, that is not easily shared across teams, departments, and locations.
In this webinar, we will introduce new functionality in FCS Express to support integration with Dotmatics Luma. Dotmatics Luma enables data from any experimental modality and data source to be joined together in order to provide click button access for visualizations, helps researchers make contextualized decisions across diverse teams/locations/departments, and prepares your data from a variety of sources for an AI ready future state with data structuring.
Join us to learn how FCS Express and Dotmatics Luma can help your teams improve quality control, traceability, integration, searchability, data reporting and cross application integration