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http://hdl.handle.net/123456789/1522
Title: | Bacterial Monitoring of Drinking Water Sources Using Immunofluorescence technique, Image Processing Software and Web-based Data Visualisation | Authors: | Ancuta, Paul-Nicolae Atanasescu, Anca Sorea, Sorin Stanciu, Danut Iulian Lucaciu, Irina Stoica, Catalina Nita-Lazar, Mihai Banciu, Alina |
Keywords: | Water quality;Digital image processing;Digital filters;Image segmentation | Issue Date: | 2019 | Abstract: | European organizations involved in updating water management regulations (WHO, OECD) insist in recent years on the need to improve methods for assessing and managing microbiological , physical and chemical safety of drinking water . Data obtained as a result of water quality monitoring should become a starting point for risk management actions. The paper is mainly focused on presenting a highly efficient software application used to implement a more rapid microbiological method to detect pathogenic bacteria for human health, based on bacterial specific antibody-antigen interaction (Ag-Ab) , namely immunofluorescence technique , and microscopic digital image processing. Laboratory tests have proven that the proposed solution is reliable, stable and time-efficient for preventing microbiological contamination of drinking water. This application software, the method and related instrumentation that the paper presents are parts of a demonstrative modular model which monitors water quality. The first module consists of instrumentation and software that serve a methodology applied to detect pathogenic bacteria in drinking water samples. The second module performs data transmission and storage in a relational database and enables real-time data visualization. |
Description: | Control Engineering and Applied Informatics, vol. 21, nr. 2, pag. 54-63, 2019 |
URI: | http://hdl.handle.net/123456789/1522 | ISSN: | 1454-8658 |
Appears in Collections: | Articles |
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5953-14897-1-PB.pdf | 742.16 kB | Adobe PDF | View/Open |
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