Nonlinear announces TT900 S2S now incorporates SameSpots for a new approach to 2D image analysis

22 Mar 2006

Product news

Nonlinear Dynamics Ltd, a leading global provider of bioinformatics solutions, today announced a revolutionary new approach in generating statistically valid results from 2D image analysis data using the latest version of TT900 S2S.

TT900 S2S is an advanced image alignment solution for highly accurate 2D gel image analysis. The new release incorporates SameSpots, a spot detection algorithm for single stain or DIGE images that can be applied within any of the Progenesis PG analysis products. These combined technologies, showcased at the recent ABRF and US HUPO conferences, produce 100% matching and eliminate the problem of missing values within 2D gel image analysis data. This finally allows proteomics researchers to apply robust statistical tests as part of their analysis workflow.

Dr David Bramwell, Technical Director of Nonlinear Dynamics said, “The challenge 2D users faced was that traditional spot detection and matching methods yielded numerous missing values which inevitably reduces the power of subsequent statistical analysis. By enabling 100% matching across all gels in the experiment, the SameSpots feature improves data quality and drives increased statistical accuracy to highlight significant changes in protein expression between different groups.”

John Spreadbury, Group Sales and Marketing Director of Nonlinear Dynamics and CEO, Nonlinear USA Inc, said: “Following its release at the end of 2005, TT900 S2S has received considerable interest from proteomics users as a fresh and innovative approach to 2D image analysis. We are delighted to announce this latest development to the product which will refine the 2D gel image analysis workflow while simultaneously improving data quality and statistical confidence in results.”

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Mass SpectrometryMass spectrometry (MS) is a powerful analytical technique used to identify and quantify molecules based on the mass-to-charge ratio of gas-phase ions. It provides detailed information about the structure, composition, and properties of compounds and is widely used across fields such as environmental monitoring, materials science, drug discovery and development, food and beverage testing, and wider chemical research. Key MS techniques include tandem mass spectrometry (MS/MS), liquid chromatography–mass spectrometry (LS-MS) and inductively coupled plasma (ICP-MS). Choosing from these wide range of techniques and technologies can be a daunting task, so keep up to date with scientific applications, performance expectations, and customer reviews here all in one place. Visit our product directory to receive quotes direct from the manufacturer. ProteomicsProteomics is the systemic bioinformatics study of proteins and amino acids, including their structure, size, function and identification. Tools used in proteomics include chromatography, blotting and gels, protein arrays, mass spectrometry and ELISA and associated analysis software. Analyzers and proteomic systems should be sensitive, high resolution, fast and may be automated for high-throughput.Gel Doc / Image AnalysisGel documentation (gel doc) or gel imaging systems are used for the analysis of proteins, antibodies and nucleic acid immobilized in polyacrylamide or agarose gels, membranes or microarrays. Explore a range of a gel imaging systems, densitometers, scanners, transilluminators or UV lamp + CCD cameras for your image analysis solutions. Colorimetric, fluorescent and/or radioisotopic samples can be visualized and documented for further analysis. See gel doc / Image analysis software for quantitative 1D and 2D analysis of your samples. Find the best gel doc / image analysis products in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.
Nonlinear announces TT900 S2S now incorporates SameSpots for a new approach to 2D image analysis