Title :
Automatic Method to Compare the Lanes in Gel Electrophoresis Images
Author :
Lin, Chih-Yang ; Ching, Yu-Tai ; Yang, Yun-Liang
Author_Institution :
Dept. of Electr. Eng., Ta-Hwa Inst. of Technol., Hsinchu
fDate :
3/1/2007 12:00:00 AM
Abstract :
Gel electrophoresis (GE) is an important tool in genomic analysis. GE results are presented using images. Each image contains several vertical lanes. Each lane consists of several horizontal bands. Two lanes are identical if the relative positions of the bands are the same. We present a computer method designed to compare the lanes and identify identical lanes. This method, developed using many image-processing techniques, is applied to segment the lanes and bands in GE images. The lanes are then converted into "position vectors" that describe the positions of the bands. Comparing lanes becomes equivalent to comparing the position vectors. This method can accurately identify identical lanes, helping biologists to identify the identical lanes from many lanes with much less effort
Keywords :
biological techniques; biology computing; dynamic programming; electrophoresis; image representation; image segmentation; automatic method; bands segmentation; dynamic programming; gel electrophoresis images; genomic analysis; image-processing techniques; lanes segmentation; matched filter technique; watershed method; Bioinformatics; Biological information theory; DNA; Design methodology; Electrokinetics; Genomics; Image analysis; Image converters; Image segmentation; Iterative algorithms; Dynamic programming; gel electrophoresis (GE); lane comparison; matched filter; segmentation; watershed method; Algorithms; Artificial Intelligence; Electrophoresis, Agar Gel; Image Enhancement; Image Interpretation, Computer-Assisted; Microscopy; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2006.875661