A fully automatic gridding method for cDNA microarray images.

ABSTRACT:

Background

Processing cDNA microarray images is a crucial step in gene expression analysis, since any errors in early stages affect subsequent steps, leading to possibly erroneous biological conclusions. When processing the underlying images, accurately separating the sub-grids and spots is extremely important for subsequent steps that include segmentation, quantification, normalization and clustering.

Results

We propose a parameterless and fully automatic approach that first detects the sub-grids given the entire microarray image, and then detects the locations of the spots in each sub-grid. The approach, first, detects and corrects rotations in the images by applying an affine transformation, followed by a polynomial-time optimal multi-level thresholding algorithm used to

SUBMITTER: Rueda L 

PROVIDER: S-EPMC3110145 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature