Improve your discovery potential 

When you go through your results after doing your 2D gel image analysis, do you sometimes notice that a lot of spots presented in the results have erroneous spot borders?
 
Have you sometimes noticed that seemingly obvious spot changes in the gels have NOT been picked up by your software?

Would it be helpful if you had an estimate on how extensive and accurate the image analysis actually is?

Ludesi’s image analysis process is created to optimize what is called the Combined Correctness in your 2D gel image data.

100% Combined Correctness basically means that you have made all possible discoveries, and have no false positives, in your results.

50% Combined Correctness means that there are a lot more to find, and that many of your results will be errors.

Combined Correctness has been shown to be highly correlated to more true positives and fewer false positives in 2D gel image data. A manuscript on Combined Correctness has been submitted and will be published in 2008.

Usually an image analysis by Ludesi can improve the Combined Correctness compared to what is possible using conventional 2D gel software. It means you will have a higher discovery potential and fewer false hits.(HUPO 2007 Poster: “How to Predict Discovery Potential and False Positives in 2D Electrophoresis Image Analyses”)

On average the Ludesi analysis reduces the false positive ratio by 40% and quadruples the number of true positives. (See graphs to the right.)

For each project you are ordering through the Ludesi REDFIN software you will get the estimated Combined Correctness of the analysis so you can get an estimate on how reliable your data is.

Want to know more?
Contact your Ludesi Application Specialist today to get an introduction to the Ludesi system and learn how we can help you improve your research. Send an email to sales@ludesi.com or use the contact form on this page. Thank you!

True positives

Ratio of False Positives

Combined Correctness

The graphs present data from nine real-life 2DGE projects provided by different proteomics groups around the world. The same 2D gel projects were analysed using conventional image analysis software, and by the Ludesi Analysis Center.

On average the Ludesi analysis reduces the false positive ratio by 40% and quadruples the number of true positives.