NDLI: A generalized methodology for the gridding of microarray images with rectangular or hexagonal grid

Content Provider	Springer Nature Link
Author	Giannakeas, Nikolaos Kalatzis, Fanis Tsipouras, Markos G. Fotiadis, Dimitrios I.
Copyright Year	2015
Abstract	Microarrays provide a simple way to measure the level of hybridization of known probes of interest with one or more samples under different conditions. The rapid development of microarray technology requires the implementation of smart and flexible algorithms to deal either with the great amount of data or with the variations of the used hardware. In this paper, a generalized methodology for spot addressing and gridding of microarray images is presented. The methodology can cope with both rectangular and hexagonal grids, which are used for the probes placement onto the substrate. Initially, the methodology identifies the structure of the image, and an efficient spot-by-spot approach has been developed for the detection of all spots in the image. The evaluation of the methodology was performed using both rectangular and hexagonal structured images, merged in a single dataset. The methodology results in high accuracy in the spots detection, ranging from 92.8 to 99.8 % depending on the dataset used.
Starting Page	719
Ending Page	728
Page Count	10
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	10
Issue Number	4
e-ISSN	18631711
Language	English
Publisher	Springer London
Publisher Date	2015-07-28
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Microarray image processing Rectangular and hexagonal grids Microarray gridding Signal, Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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