An Automated Colourimetric Test by Computational Chromaticity Analysis: A Case Study of Tuberculosis Test

Tania, Marzia Hoque and Lwin, Khin T. and Abu-Hassan, Kamal J. and Bakhori, Noremylia Mohd and Azmi, Umi Zulaikha Mohd and Yusof, Nor Azah and Hossain, Mohammed Alamgir (2017) An Automated Colourimetric Test by Computational Chromaticity Analysis: A Case Study of Tuberculosis Test. In: 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017. Advances in Intelligent Systems and Computing (616). Springer, Cham, Switzerland, pp. 313-320. ISBN 978-3-319-60816-7

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Official URL: https://doi.org/10.1007/978-3-319-60816-7_38

Abstract

This paper presents an investigation into a novel approach for an automated universal colourimetric test by chromaticity analysis. This work particularly focuses on how a well-adjusted harmony between computational complexity and biochemical analysis can reduce the associated cost and unlock the limit on conventional chemical practice. The proposed research goal encompasses the potential to the criteria- anytime anywhere access, low cost, rapid detection, better sensitivity, specificity and accuracy. Our method includes obtaining the amount of colour change for each instance by delta E calculation. The system can provide the result in any ambient condition from the trajectory of colour change using Euclidean distance in LAB colour space. The strategy is verified on plasmonic ELISA based diagnosis of tuberculosis (TB). TB detection by plasmonic ELISA is a challenging, demanding and a time-consuming diagnosis. Completing the computation in real time, we circumvent the obstacle liberating the TB diagnosis in less than 15 min.

Item Type: Book Chapter
Additional Information: Full citation: Hoque Tania M. et al. (2017) An Automated Colourimetric Test by Computational Chromaticity Analysis: A Case Study of Tuberculosis Test. In: Fdez-Riverola F., Mohamad M., Rocha M., De Paz J., Pinto T. (eds) 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017. Advances in Intelligent Systems and Computing, vol 616. Springer, Cham
Keywords: Colourimetric test, Plasmonic ELISA, TB test, Chromatic analysis
Faculty: Faculty of Science & Technology
Depositing User: Dr Khin Lwin
Date Deposited: 19 Sep 2017 13:44
Last Modified: 17 Oct 2018 10:00
URI: http://arro.anglia.ac.uk/id/eprint/702129

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