Accelerate High-Throughput Screening

Identify higher quality leads in less time with high-throughput screening (HTS) data workflows

Speed up drug discovery with automated workflows for high-throughput data analysis

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

accelerate icon

Expedite research with data prepared for in-silico modeling and advanced analytics

Lead innovation with high-throughput screening scientific data solutions

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.

Automated end-to-end data pipelines

Manage the entire data workflow, including collection, enrichment, storage, and sending to data consumers.

Enriched, FAIR data

Provide secure, accessible, and centralized data storage in the cloud, enriched with metadata and scientific context.

Productized integrations

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.

Data harmonization

Process data across multiple vendors and formats, preparing it for advanced analytics and predictive modeling.

Overcome the hurdles of the high-throughput screening process

Speed and agility are of the essence with the large volumes of data produced during the high-throughput screening workflow.

Challenges related to the traditional approach

Highly manual processes

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.

Error-prone data

Manual data handling increases the possibility of introducing false positives/negatives in the data.

Loss of data history and traceability

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.

Lack of robust scientific data solutions

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.

The future of high-throughput screening data flows

Future State Graphic

Benefits of automated high-throughput screening 

Automate manual processes

Increase screening throughput and eliminate error-prone, manual data collection and aggregation

  • Capture, harmonize, and store liquid handler and plate reader scientific data
  • Enrich plate reader measurements with context using metadata from the your inventory/registration system
  • Push results back to the experiment ELN entry automatically, eliminating manual data transfers

Improve quality of lead candidates

Reduce the number of false positives and negatives

  • Eliminate manual moving, copying, and transformation of scientific data, reducing errors and increasing data accuracy
  • Access scientific context contained within the data contains to retrieve the conditions used for each experiment
  • Gain history and visibility of all analyses performed for each sample

Enhance accessibility and enable analytics

Harmonize and centralize data to enable in-silico modeling and advanced analytics

  • Centralize all of your HTS data in the cloud, making it FAIR (findable, accessible, interoperable, and reusable)
  • Automate workflows to improve assay development as well as primary and secondary screening
  • Prepare data for SAR analysis and downstream visualizations and analytics

Frequently Asked Questions