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SOFTWARE                                                                                    Biomedicine                   ...
Highly Complex    TECHNOLOGY BENEFITS                                                                                     ...
INNOVATION      This technology performs a spiraling block-matching search on test image, starting at spot center      coo...
DEVELOPMENT      Stage:                        Advanced development                                    The application la...
APPLICATIONS      This technology is designed to be applied in the field of biomedicine, be it:                           ...
OWNERSHIP      This technology is owned by the University of A Coruña (84%)      SERGAS       (8%)     and      the      C...
LAB INFORMATION      This technology has been developed by the RNASA Lab at the University of A Coruña, Spain.      RNASA ...
TECHNOLOGY DESCRIPTION      In the simple block-matching approach, the whole images (both reference and test) are divided ...
OFFER       R&D contracts               License of IP      This opportunity is open to qualified companies in the market...
CONTACT INFORMATION     Primary Inventor                        Licensing Manager            Document Author     Prof. Jul...
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ProteoMatch Brochure

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ProteoMatch: modified block matching based technique for analysis of 2D gel images techpack, developed by RNASA Lab at the University of A Coruña, Spain.

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ProteoMatch Brochure

  1. 1. SOFTWARE Biomedicine • Clinical research • Clinical diagnostics ™Proteomics software ProteoMatch™ implements a modified block matching based technique that achieves better performance forfor analysis of 2D gel low, medium AND highly complex samples.images is a trademark used by the RNASA Lab at the University of A Coruña, Spain April 2011
  2. 2. Highly Complex TECHNOLOGY BENEFITS samples: Better performance for low, medium AND highly complex samples Up to 85.45% success Higher success rates compared to other methods (see table below) Lower need for expert review of results, thus lower processing costs and faster decision making Lower gel usage rate and increased availability for tests using gels of different complexities Low Complexity Medium Complexity High Complexity Method n correct n incorrect Success n correct n incorrect Success n correct n incorrect Success Rohr et al. Warping 187 21 89.9% 137 21 86.7% - - - 2004 Hibrid 201 7 96.6% 149 9 94.3% - - - Worz et al. Warping 200 8 96.2% 150 8 94.9% - - - 2008 Hibrid 203 5 97.6% 153 5 96.8% - - - RNASA Modified Block Matching 207 1 99.51% 154 4 97.47% 47 8 85.45% TECHNOLOGY FEATURES MIAPE standard compliant Desktop and web applications availableA modified block matching based technique for analysis of 2D gel images 2
  3. 3. INNOVATION This technology performs a spiraling block-matching search on test image, starting at spot center coordinates from reference image, to find a match on test image based on Pearson’s coefficient. This approach, combined with other known methods, has not been disclosed by prior art. Spots identification Image matching Statistical analysisA modified block matching based technique for analysis of 2D gel images 3
  4. 4. DEVELOPMENT Stage:  Advanced development The application lacks advanced statistical functionality, which will be developed by June 2011. Status: The application has been developed in collaboration with the Biomedical Research Institute (INIBIC) at the University of A Coruña Hospital Complex (CHUAC). The medical team was led by Dr. Francisco Blanco, Scientific Director. The application has been tested using images provided by G.-Z. Yang, Royal Society/Wolfson MIC Laboratory, Department of Computing, Imperial College, London. Further testing has been carried out versus current market applications, mainly Decodon’s Delta2D.A modified block matching based technique for analysis of 2D gel images 4
  5. 5. APPLICATIONS This technology is designed to be applied in the field of biomedicine, be it: Clinical research, in order to determine which and how proteins are associated to specific diseases. Clinical diagnostics, in order to compare a master image to images from actual patients and diagnose the presence of a specific disease.A modified block matching based technique for analysis of 2D gel images 5
  6. 6. OWNERSHIP This technology is owned by the University of A Coruña (84%) SERGAS (8%) and the CHUAC Foundation (8%). Commercialization is managed by the University of A Coruña. INTELLECTUAL PROPERTY The University of A Coruña has filed the following applications: ID # Country Status Description Software Copyright Spain Granted Software para la identificación de 03/ 2010 / 551 proteínas mediante análisis de imágenes de geles 2D Patent Application USA Patent Molecular block-matching method for 61478533 Pending gel image analysisA modified block matching based technique for analysis of 2D gel images 6
  7. 7. LAB INFORMATION This technology has been developed by the RNASA Lab at the University of A Coruña, Spain. RNASA stands for “Artificial Neural Networks and Adaptive Systems”. The lab was founded in 1989 by Alejandro Pazos, PhD in Medicine and PhD in Computer Science, who leads more than fifty (50) researchers, including two (2) Full Professors an three (3) Senior Lecturers. The RNASA team has led twenty (20) doctoral thesis, published close to one hundred (100) papers and filed three (3) working patents over the last twenty years. Know how and complementary technology are available in the fields of Artificial Intelligence, Telemedicine and Digital Image Analysis. For more information on the RNASA Lab, please visit http://rnasa.tic.udc.es/A modified block matching based technique for analysis of 2D gel images 7
  8. 8. TECHNOLOGY DESCRIPTION In the simple block-matching approach, the whole images (both reference and test) are divided in a grid of blocks. Each block is compared using different similarity measures. The developed technology by RNASA Lab works as follows:  (a) First, only a subset of blocks is selected in the reference image, one block for each protein selected;  (b) LM fitting uses Gaussian function to model pixel intensity (i.e. grey level) on each block of the reference image to establish the accurate center of protein spot: a wave search is used (uses pixel intensity to identify perimeter/radii of protein spot) on reference image to establish estimated center of spot coordinates. The initial coordinates represent its centre. The radius is increased until it reaches certain threshold and contains the protein center. The minimum intensity point in the delimited area is used as the provisional centre for each iteration.  (c) The coordinate of the central position of each block in the reference image is the central search position in the test image.  (d) spiraling block-matching search is performed on test image, starting at spot center coordinates from reference image, to find a match on test image based on Pearson’s coefficient.A modified block matching based technique for analysis of 2D gel images 8
  9. 9. OFFER  R&D contracts  License of IP This opportunity is open to qualified companies in the market for proteomics software applications. SUPPORT EVIDENCE  Documentation  Demo  Personnel  Third party For additional information on this technology, please check Freire, A., Seoane, JA., Rodríguez, A., Ruiz-Romero, C., López-Campos, G. and Dorado, J. (2010) “A Block-matching based technique for the analysis of 2D gel images”, Studies in Health Technology and Informatics, Vol. 160, p. 1282-86. http://ht.ly/4KXPZ Prof. Julián Dorado, RNASA, and Dr. Francisco Blanco, INIBIC Scientific Director, are available for inquiry upon request. Also, a demo of the application can be performed upon request.A modified block matching based technique for analysis of 2D gel images 9
  10. 10. CONTACT INFORMATION Primary Inventor Licensing Manager Document Author Prof. Julián Dorado Maribel Docampo Carlos Alvarez  maribel@udc.es  carlos.alvarez@kinvestors.com  julian@udc.es  +34 981 167 173  +34 886 099 594  +34 981 167 000 ext. 1239 ext. 1302A modified block matching based technique for analysis of 2D gel images 10

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