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Home > Imaging and Analysis > Image Analysis > REDFIN 2-D Analysis Service

REDFIN 2-D Analysis Service

REDFIN 2-D analysis service is a simple way to analyze 2-D gels for novice and expert researchers alike. The analysis service combines a team of professional gel analyzers with the REDFIN software to provide a unique pay-as-you-go solution for your 2-D gel projects.

REDFIN analysis for 2-D gels provides:

  • Time Savings – Eliminate the image analysis bottleneck and increase efficiency by outsourcing your 2-D gel image analysis
  • Simplicity – Upload your 2-D gel images through REDFIN software. All you need is a computer with an internet connection. There is no need to learn how to use a software package
  • Quality and Consistency – Have your image analysis performed by a team of professionals. This provides you with supreme quality and confidence in your results
  • Data Backup – Upload gels to a safe and secure server for easy organization and cataloging of your most important experiments. Access to your data is secure and your data is protected against potential loss
  • Reliability – The REDFIN 2-D analysis service leads to discoveries that software alone cannot always match. In repeated tests, REDFIN analysis has detected a significantly higher number of protein regulations compared to analysis by software alone, while increasing the accuracy of spot matching*

Features

  • 2-D gel analysis provided by a team of professionals
  • Pay-as-you-go model to match your analysis needs
  • Outsourcing your 2-D gel analysis to allow you to spend time on other experiments
  • Data provided in dynamic format enabling filtering or sorting of spots to identify spots of interest
  • Data backup and secure online access to your data anytime, anywhere

* In a study where nine 2-D gel projects (previously analyzed with conventional software including Progenesis SameSpot, PDQuest™, DeCycler and ImageMaster) were analyzed with REDFIN 2-D gel analysis service, the number of true positives increased more than four times, false positives decreased by 40%, and combined correctness doubled compared to previous analysis results (Forsström-Olsson, et al. Abstract HA–1297, HUPO 6th Annual World Congress, 2007).





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