AUTOMATIC LANE DETECTION AND SEPARATION IN ONE DIMENSIONAL DNA GEL IMAGES

Summary Motivation: In this paper we describe the automatic detection and separation of lanes in DNA gel images, applying an iterative low-pass filter and equivalent width algorithm. DNA gel images often contains more than one lane in which, each lane contains either DNA for an individual or standard markers. Each time DNA for an individual in one lane is going to be analyzed or compared with DNA from other individuals within or between gel images, the location of each lane within the gel images should be recomputed. Isolating the lanes in a DNA gel image and making a specific image file for each lane makes the process of analyzing and the comparison of individuals more feasible. In addition the storage space will also be reduced. Results: A simple iterative low-pass filter followed by equivalent width algorithm is applied to localize and separate the lanes in DNA gel images. Results obtained by this method are reliable and will reduce further computations when the DNA for an individual is going to be compared with other individuals within or between gel images. Availability: available on request from the authors.