Automated analysis of electrophoretic gels by digital image processing

Manuel Filipe M. Costa

doi:10.1117/12.346760

21 April 1999 Automated analysis of electrophoretic gels by digital image processing

Manuel Filipe M. Costa

Proceedings Volume 3603, Systems and Technologies for Clinical Diagnostics and Drug Discovery II; (1999) https://doi.org/10.1117/12.346760
Event: BiOS '99 International Biomedical Optics Symposium, 1999, San Jose, CA, United States

Abstract

In this communication we are reporting the recent developments on a system/method of automated analysis of electrophoreses gels' by image digitalization and processing. The image digitalization system is formed by a non-intensified color CCD camera interfaced to a microcomputer through a frame grabber that allows image acquisition to be performed in real time. The illumination and image acquisition conditions will be discussed. A few different macro routines for image processing and data treatment were built. They cope with the different requirements, specifically for each of the most frequently used types of electrophoreses gels. After selection of the proper routine the automated evaluation process begins with the images' digitalization and processing in order to enhance image's contrast and performing the detection of relevant features. The image processing techniques employed include: histogram equalization and contrast enhancement, noise reducing by low pass Fourier filtering; edge enhancement and location by the application of differential operators, posterization or binarization; blob analysis, matching and feature extraction. the obtained images are also compressed and stored on the patient's files for future reference. The process take up to just a couple of minutes to be completed.

Citation Download Citation

Manuel Filipe M. Costa "Automated analysis of electrophoretic gels by digital image processing", Proc. SPIE 3603, Systems and Technologies for Clinical Diagnostics and Drug Discovery II, (21 April 1999); https://doi.org/10.1117/12.346760

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