Screen 2-4x more compounds in the same time
40-60% decrease in the time spent on manually aggregating data
Identify higher quality lead candidates sooner
Expedite research with data prepared for in-silico modeling and advanced analytics
High-throughput screening using the Tetra Scientific Data Cloud™ brings cohesion and automation to your HTS workflows. Our solution connects instruments and software within your high-throughput screening processes to automate data entry, processing, storage, and harmonization into an open, universal format.
Manage the entire data workflow, including collection, enrichment, storage, and sending to data consumers.
Provide secure, accessible, and centralized data storage in the cloud, enriched with metadata and scientific context.
Connect with instruments and informatics applications needed for the high-throughput screening process, including liquid handlers, plate readers, inventory management, compound registry, and ELN systems.
Process data across multiple vendors and formats, preparing it for advanced analytics and predictive modeling.
Speed and agility are of the essence with the large volumes of data produced during the high-throughput screening workflow.
Scientists and lab staff are required to collect, move, process, and transform data using spreadsheets to interface with informatics applications, such as ELNs and LIMS.
Manual data handling increases the possibility of introducing false positives/negatives in the data.
Lack of data history and provable provenance can result in data reprocessing or experiment repetition, lengthening the time to identify quality leads and requiring time and effort.
Custom, point-to-point solutions lack flexibility or scalability because they don’t address end-to-end data management or provide productized integrations across multiple instruments and data sources.
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Increase screening throughput and eliminate error-prone, manual data collection and aggregation
Reduce the number of false positives and negatives
Harmonize and centralize data to enable in-silico modeling and advanced analytics