Abstract
This paper presents a method (GEIAS) for the automatic processing of digital images obtained from Gel Electrophoresis. The performance of GEIAS was tested using 12 images, obtained from 4 gels with 3 different exposures with a total of 1082 bands, comparing the results provided by GEIAS and 3 other software tools. The GEIAS is able to fully automatically detect DNA lanes while the other 3 software tools tested can only do this in a semi-automatic or manual way. For the correct location of DNA bands, GEIAS required a manual correction of the location in 10.0% of the bands, and the other software tools 13.0%, 15.0% and 25.4%. The average error in the estimation of molecular weight was tested using a total of 5443 bands in 12 image using 672 reference/observed lane pairs. The average error was found to be 9.2% for GEIAS and 11.2%, 14.4% and 13.1% for the other software tools tested.
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Caridade, C.M.R., Marcal, A.R.S., Mendonça, T., Pessoa, A.M., Pereira, S. (2010). Automatic Information Extraction from Gel Electrophoresis Images Using GEIAS. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_19
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DOI: https://doi.org/10.1007/978-3-642-13775-4_19
Publisher Name: Springer, Berlin, Heidelberg
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