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

1. SOFTWARE
Biomedicine
• Clinical research
• Clinical diagnostics
™
Proteomics software ProteoMatch™ implements a modified block matching
based technique that achieves better performance for
for 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. 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 available
A modified block matching based technique for analysis of 2D gel images 2

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 analysis
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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. 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. 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 analysis
A modified block matching based technique for analysis of 2D gel images 6

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/
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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.
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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.
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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. 1302
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