Automated Gridding of Microarrays

4 Pages Posted: 22 Jan 2020

See all articles by Chaitanya Tuckley

Chaitanya Tuckley

Indian Institute of Technology (IIT), Bombay

Abhilash Barpanda

Indian Institute of Technology (IIT), Bombay

Siddhartha Duttagupta

Indian Institute of Technology (IIT), Bombay

Date Written: January 13, 2020

Abstract

Microarrays, with advancement in proteomics, have proven to be a disruptive technology in the world of pharmacology as they enable researchers carry out multiple assays on a single chip in a convenient and time efficient manner. Accompanied by image processing algorithms, they yield veritable results rapidly. The intensity of the microarray spots is highly dependent on the hybridization prospects between its probe and the analyte introduced. Hence, most techniques given in the literature based solely on the intensity fail to identify the spots correctly. Moreover, thousands of spots need to be manually aligned before further analysis. This work presents a novel technique to automatically identify the blocks, despite having artefacts, accurately.

Keywords: Microarrays, Thresholding, Correlation

Suggested Citation

Tuckley, Chaitanya and Barpanda, Abhilash and Duttagupta, Siddhartha, Automated Gridding of Microarrays (January 13, 2020). Proceedings of Industry Interactive Innovations in Science, Engineering & Technology (I3SET2K19), Available at SSRN: https://ssrn.com/abstract=3518278 or http://dx.doi.org/10.2139/ssrn.3518278

Chaitanya Tuckley (Contact Author)

Indian Institute of Technology (IIT), Bombay ( email )

Powai
IIT Bombay, Powai
Mumbai, Maharashtra 400076
India

Abhilash Barpanda

Indian Institute of Technology (IIT), Bombay ( email )

Powai
IIT Bombay, Powai
Mumbai, Maharashtra 400076
India

Siddhartha Duttagupta

Indian Institute of Technology (IIT), Bombay ( email )

Powai
IIT Bombay, Powai
Mumbai, Maharashtra 400076
India

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