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Automatic Information Extraction from Gel Electrophoresis Images Using GEIAS

机译:利用缘雷亚斯从凝胶电泳图像中提取自动信息

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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.
机译:本文介绍了一种用于自动处理从凝胶电泳获得的数字图像的方法(凸饰)。使用12张图像测试突之物的性能,从4个凝胶中获得3个不同的曝光,总共1082个频段,比较了Geias和3其他软件工具提供的结果。盖帽能够完全自动检测DNA车道,而测试的其他3个软件工具只能以半自动或手动方式执行此操作。对于DNA频段的正确位置,乔布斯需要手动校正频段的10.0%的位置,另一个软件工具13.0%,15.0%和25.4%。使用672参考/观察车道对使用12个图像中的总共5443条带测试分子量估计中的平均误差。对于盖夏的平均误差为9,2%,另一个软件工具为11.2%,14.4%和13.1%。

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