Ludesi (www.ludesi.com) recently reported a contract with DSM(www.dsmnutritionalproducst.com) to carry out image analysis of the latter’s 2-D protein gels. The deal, Ludesi says, is further validation of its approach to analyzing images from 2-D electrophoresis gels on a per-sample basis.
Ludesi pioneered the concept of performing analyses in-house by specialized staff, eliminating all the time-consuming manual work associated with analysis for the client, claims Ola Forsstrom-Olsson, the company’s CEO. It is a move, the company maintains, that has allowed it to develop technology that has none of the sensitivity and accuracy issues evident with commercial image-analysis software.
Forsstrom-Olsson reports that because conventional 2-D gel image-analysis software is designed to be used by the scientist, there is always a certain level of compromise between product accuracy and ease of use. “Commercial image-analysis software for many complex analysis tasks has to incorporate a certain trade-off between accuracy and ease of use otherwise it would become technically too difficult for the average user,” he suggests.
“However, with 2-D gel analysis, sacrificing just a bit of accuracy results in a big difference in the correctness of the final analysis and the number of true protein regulations actually found. Because of this trade-off, commercial 2-D gel image-analysis software consistently detects, matches, and measures spots incorrectly.”
To circumvent this trade-off between accuracy and ease of use, Ludesi has essentially subdivided its software. The client is provided with easy-to-use software, through which gel images can be uploaded to Ludesi, which visualizes and interprets the analysis results.
“We keep our proprietary, advanced analytical software in-house, which allows clients’ images to be analyzed by highly skilled technicians. These technicians can do correctness controls at various points in the analysis process to guarantee a consistently high overall correctness of the analysis results, an intricate process commercial software does not have built in,” Forsstrom-Olsson continues.
“We have repeatedly proved that our analyses are far more sensitive and accurate, generating results that would not be attainable using conventional software and discovering important protein regulations that would otherwise be missed.”