NDLI: Smartphone camera-based analysis of ELISA using artificial neural network

Content Provider	IET Digital Library
Author	Nath, Somjit Sarcar, Subhannita Chatterjee, Biswendu Chourashi, Rhishita Chatterjee, Nabendu Sekhar
Abstract	The proposed method indicates an inexpensive, portable, and easily accessible method for the quantitative analysis of medical samples for the detection of disease in the enzyme-linked immunosorbent assay (ELISA). The procedure follows a point-of-care diagnostic model and attends to the several challenges in healthcare system in rural settings. The proposed technique will alleviate the inconveniences faced by the average citizen of a country with insufficient resources to implement an affordable healthcare administration for its entire population. A smartphone is used to procure images of an ELISA containing para-nitrophenol samples which is then fed into a machine learning algorithm, specifically artificial neural network. The introduction of two relatively new technologies in medical aid – the smartphone and machine learning not only reduces cost and time of detection, but also presents ample possibility for further development. The predictions result in highly accurate diagnostic labels. The same method can be used for blood samples for the prediction of presence of any disease, provided adequate training set has been deployed.
Starting Page	826
Ending Page	833
Page Count	8
ISSN	17519632
Volume Number	12
e-ISSN	17519640
Issue Number	Issue 6, Sep (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/12/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2017.0585
Journal	IET Computer Vision
Publisher Date	2018-04-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Artificial Neural Network Biology And Medical Computing Biomedical Measurement And Imaging Camera Computer Vision And Image Processing Technique Disease Detection Diseases ELISA Enzyme-linked Immunosorbent Assay Enzymes Health Physics Healthcare Healthcare Administration Healthcare System Image Sonsor Learning in AI Machine Learning Algorithm Medical Aid Medical And Biomedical Uses of Field Medical Image Processing Medical Sample Quantitative Analysis Neural Computing Technique Neural Nets Object Detection Optical, Image And Video Signal Processing Para-nitrophenol Sample Patient Diagnostic Method And Instrumentation Point-of-care Diagnostic Model Radiations Radioactivity Smart Phones Smartphone Camera-based Analysis
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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