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

• Autores: Marzia Hoque Tania, K. T. Lwin, Kamal AbuHassan, Noremylia Mohd Bakhori, Umi Zulaikha Mohd Azmi, Nor Azah Yusof, M.A. Hossain
• Localización: 11th International Conference on Practical Applications of Computational Biology & Bioinformatics / Florentino Fernández Riverola (ed. lit.), 2017, ISBN 978-3-319-60815-0, págs. 313-320
• Idioma: inglés
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• Resumen

  • This paper presents an investigation into a novel approach for an automated universal colourimetric test by chromaticity analysis. This work partic‐ ularly 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 encom‐ passes 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 diag‐ nosis. Completing the computation in real time, we circumvent the obstacle liber‐ ating the TB diagnosis in less than 15 min.