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

Marzia  Hoque Tania; K T Lwin; Kamal  AbuHassan; Noremylia  Mohd Bakhori; Umi Zulaikha Mohd  Azmi; Nor Azah  Yusof; Alamgir Hossain

doi:10.1007/978-3-319-60816-7_38

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

Marzia Hoque Tania, K T Lwin, Kamal AbuHassan, Noremylia Mohd Bakhori, Umi Zulaikha Mohd Azmi, Nor Azah Yusof, Alamgir Hossain

Healthcare Innovation Centre

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017
Editors	F Fdez-Riverola, M Mohamad, M Rocha, J De Paz, T Pinto
Publisher	Springer
Pages	313-320
ISBN (Electronic)	9783319608167
ISBN (Print)	9783319608150
DOIs	https://doi.org/10.1007/978-3-319-60816-7_38
Publication status	E-pub ahead of print - 21 Jun 2017
Event	11th International Conference on Practical Applications of Computational Biology & Bioinformatics - Porto, Portugal Duration: 21 Jun 2017 → 23 Jun 2017 Conference number: 11

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	616
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	11th International Conference on Practical Applications of Computational Biology & Bioinformatics
Abbreviated title	PACBB
Country/Territory	Portugal
City	Porto
Period	21/06/17 → 23/06/17

Access to Document

10.1007/978-3-319-60816-7_38

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Hoque Tania, M., Lwin, K. T., AbuHassan, K., Mohd Bakhori, N., Azmi, U. Z. M., Yusof, N. A., & Hossain, A. (2017). An Automated Colourimetric Test by Computational Chromaticity Analysis: A Case Study of Tuberculosis Test. In F. Fdez-Riverola, M. Mohamad, M. Rocha, J. De Paz, & T. Pinto (Eds.), 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017 (pp. 313-320). (Advances in Intelligent Systems and Computing; Vol. 616). Springer. Advance online publication. https://doi.org/10.1007/978-3-319-60816-7_38

Hoque Tania, Marzia ; Lwin, K T ; AbuHassan, Kamal et al. / An Automated Colourimetric Test by Computational Chromaticity Analysis: A Case Study of Tuberculosis Test. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017. editor / F Fdez-Riverola ; M Mohamad ; M Rocha ; J De Paz ; T Pinto. Springer, 2017. pp. 313-320 (Advances in Intelligent Systems and Computing).

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title = "An Automated Colourimetric Test by Computational Chromaticity Analysis: A Case Study of Tuberculosis Test",

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. ",

author = "{Hoque Tania}, Marzia and Lwin, {K T} and Kamal AbuHassan and {Mohd Bakhori}, Noremylia and Azmi, {Umi Zulaikha Mohd} and Yusof, {Nor Azah} and Alamgir Hossain",

year = "2017",

month = jun,

day = "21",

doi = "10.1007/978-3-319-60816-7_38",

language = "English",

isbn = "9783319608150",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "313--320",

editor = "F Fdez-Riverola and M Mohamad and M Rocha and {De Paz}, J and T Pinto",

booktitle = "11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017",

note = "11th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB ; Conference date: 21-06-2017 Through 23-06-2017",

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Hoque Tania, M, Lwin, KT, AbuHassan, K, Mohd Bakhori, N, Azmi, UZM, Yusof, NA & Hossain, A 2017, An Automated Colourimetric Test by Computational Chromaticity Analysis: A Case Study of Tuberculosis Test. in F Fdez-Riverola, M Mohamad, M Rocha, J De Paz & T Pinto (eds), 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017. Advances in Intelligent Systems and Computing, vol. 616, Springer, pp. 313-320, 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, Porto, Portugal, 21/06/17. https://doi.org/10.1007/978-3-319-60816-7_38

An Automated Colourimetric Test by Computational Chromaticity Analysis: A Case Study of Tuberculosis Test. / Hoque Tania, Marzia ; Lwin, K T; AbuHassan, Kamal et al.
11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017. ed. / F Fdez-Riverola; M Mohamad; M Rocha; J De Paz; T Pinto. Springer, 2017. p. 313-320 (Advances in Intelligent Systems and Computing; Vol. 616).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An Automated Colourimetric Test by Computational Chromaticity Analysis: A Case Study of Tuberculosis Test

AU - Hoque Tania, Marzia

AU - Lwin, K T

AU - AbuHassan, Kamal

AU - Mohd Bakhori, Noremylia

AU - Azmi, Umi Zulaikha Mohd

AU - Yusof, Nor Azah

AU - Hossain, Alamgir

N1 - Conference code: 11

PY - 2017/6/21

Y1 - 2017/6/21

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-319-60816-7_38

DO - 10.1007/978-3-319-60816-7_38

M3 - Conference contribution

SN - 9783319608150

T3 - Advances in Intelligent Systems and Computing

SP - 313

EP - 320

BT - 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017

A2 - Fdez-Riverola, F

A2 - Mohamad, M

A2 - Rocha, M

A2 - De Paz, J

A2 - Pinto, T

PB - Springer

T2 - 11th International Conference on Practical Applications of Computational Biology & Bioinformatics

Y2 - 21 June 2017 through 23 June 2017

ER -

Hoque Tania M, Lwin KT, AbuHassan K, Mohd Bakhori N, Azmi UZM, Yusof NA et al. 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, editors, 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017. Springer. 2017. p. 313-320. (Advances in Intelligent Systems and Computing). Epub 2017 Jun 21. doi: 10.1007/978-3-319-60816-7_38

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

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