Microarray optimizations: increasing spot accuracy and automated identification of true microarray signals

Microarray optimizations: increasing spot accuracy and automated identification of true microarray signals.

In this paper, fluorescent microarray images and various analysis techniques are described to improve the microarray data acquisition processes. Signal intensities produced by rarely expressed genes are initially correctly detected, but they are often lost in corrections for background, log or ratio. Our analyses indicate that a simple correlation between the mean and median signal intensities ...

Improved Accuracy of Spot Search on HPV DNA Microarray Chip

There are two methods to search the spot in the microarray DNA chip: Grid method and Circle template image method. However, these methods have the drawback that they are slow. To solve this problem in a recent study, applying the running algorithm using a box template image reduced the time by 1/10. However, there was a drop in accuracy when comparing accuracy with Grid and Circle template matc...

cDNA Microarray Data Normalization

Segmentation and Spot Centering for Microarray Image

In this article we explain segmentation method and spot centering for spot array image based on cDNA chip. First phase of conventional microarray chip analysis consists of detecting strong targets, finding their centers, and regression of four-corner coordinates of each subarray from these centers of strong signals. Detecting strong targets is a process of separation between real target spots a...

Processing of kinetic microarray signals

Measurement of kinetics using microarrays requires adapted experimental analysis for data evaluation and normalization. Here we present a new algorithm based on alignment of data, which solves inconsistencies of current normalization methods utilizing baseline correction. Our results show that this method leads to better data consistency and relative errors four times smaller on average. © 2007...