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PerkinElmer Signals Screening-Assay Data Management and Analysis Platform

Signals Screening is an assay data analysis and management platform that enables scientists to transform raw instrument data into actionable compound ID lists in just a few clicks. Enable your teams to collaborate on a modern, scalable platform to address today's scientific and workflow needs but also drive unprecedented future updates.

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The Opportunity

All screening data tends to go through similar data processing workflows. Starting with raw data files generated by multiple instruments, transforming raw data into columnar data format, adding annotations and enriched with information about the plates/ wells etc. It’s then normalized using business rules followed by QA/QC and then is either extracted for reporting or published to the corporate data warehouse.

Despite a standard workflow, it is challenging to reproduce the research, or apply the workflow to new/ historical set of data in a consistent way and achieve the exact defined end points.

A platform built with future in mind.

Signals Screening is an intuitive, configurable, and flexible screening workflow processing engine on top of the unparalleled data visualization and analysis capabilities of TIBCO Spotfire. A single platform that allows data comparisons from different experiments and instruments increasing confidence that the results are real. Whether it is low throughput assay development/ optimization experiment or high throughout screening runs, Signals Screening processes and analyzes all data with equal ease and scalability.

  • Universal Analysis of All Data & Unlimited Compute Power
    HTS, HCS, SPR and more, all data formats from a variety of screening techniques can easily be transformed, processed and analyzed with standard out of the box curve fits or using custom curve fits with just a few clicks and in just a few minutes.
  • Adapt Software to Reflect Your Workflow
    Signals Screening apps are offered as building blocks that can daisy chained together- you can move these around to create a protocol that reflects your lab’s workflow best rather than adapting your lab to fit the software. Data model awareness enables apps to configure themselves and guide user through input parameters selection. So, you can apply workflows designed by YOU rather than the software. The apps are intuitive, user friendly and UI is simple, straightforward so that everybody in the organization- irrespective of the experience they have with software can apply protocols or create custom curve fits as needed and yet maintain consistency, reproducibility and compliance with business rules.
  • Cloud scale informatics for today’s science
    Signals Screening is built on a modern technology stack makes it possible for you to compute vast amounts of information in no time. Millions of data points can be analyzed in minutes!
  • Recalculate on the Fly
    Capture complex, ad hoc analysis defined during assay development stage. When high throughput data becomes available, apply this predefined analysis to production scale data.
  • Re-Analyze historical data or compare historical data analyses
    Signals Screening’s modern technology stack not only makes things faster, but more importantly, it makes things possible. Now you can compare your current analysis with historical data in a matter of minutes. Apply the normalization methods consistently across data sets so your analysis can reveal new insights, faster.
  • Assay optimization- Assay parameters are critical in the optimization step.
    Signals Screening allows assay scientists to store all assay parameters across the entire value chain of research, from HTS to DMPK. Once published, all the saved parameters are indexed and hence searchable. Raw Data and published results are available all in one place and is attached to the same entity. So, you can find and compare all available data in SAR analysis.

Organizations leverage Signals Screening to

  • Boost seamless communication between assay development, HTS, and hit validation steps and teams
  • Analyze assay results efficiently, quickly and more thoroughly than ever before
  • Extend core screening platform to new screening techniques such as SPR, HCS, and more

Data Formats Supported

  • Single- Point (single-shot)
  • 3-, 4-, and 5- parameter curve fits
  • SPR
  • HCS
  • HTS
  • Kinetics
  • qtPCR
  • MST
  • ITC
  • Multiplex
  • Drug Combination
  • Motulsky-Mahan
  • Thermal Shift (Boltzmann)
  • Plasma protein binding
  • Microsomal Stability
  • And Many More…

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Resources, Events & More
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An Automated Deep-Learning Workflow for High Content Screening

Imaging-based phenotypic screening of cell-based disease models has become an indispensable tool for modern drug discovery. Despite the growing adoption of high-content screening (HCS), analyzing the complex imaging data produced by these systems can take weeks and typically requires handson programming by data scientists.

Recent advances in deep learning have enabled the possibility of automating these analyses. In this work we present a framework to analyze multiple image datasets with minimal tuning or optimization.


What’s New in Signals Screening

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