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An Automated Colourimetric Test by Computational Chromaticity Analysis: A Case Study of Tuberculosis Test
conference contribution
posted on 2023-07-26, 14:09 authored by Marzia Hoque Tania, Khin T. Lwin, Kamal J. Abu-Hassan, Noremylia Mohd Bakhori, Umi Zulaikha Mohd Azmi, Nor Azah Yusof, Mohammed Alamgir HossainThis 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.
History
Issue number
616Page range
313-320Number of pages
330Series
Advances in Intelligent Systems and ComputingISSN
2194-5357External DOI
Publisher
SpringerPlace of publication
ChamISBN
978-3-319-60816-7Conference proceeding
11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017.Name of event
11th International Conference on Practical Applications of Computational Biology & BioinformaticsLocation
Porto, PortugalEvent start date
2017-06-21Event finish date
2017-06-23Editors
Florentino Fdez-Riverola, Mohd Saberi Mohamad, Miguel Rocha, Juan F. De Paz, Tiago PintoLanguage
- other
Official URL
Legacy posted date
2017-09-19Legacy creation date
2017-08-25Legacy Faculty/School/Department
ARCHIVED Faculty of Science & Technology (until September 2018)Note
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, ChamUsage metrics
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