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A simple and low-cost biofilm quantification method using LED and CMOS image sensor

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dc.contributor.authorKwak, Yeon Hwa-
dc.contributor.authorLee, Junhee-
dc.contributor.authorLee, Junghoon-
dc.contributor.authorKwak, Soo Hwan-
dc.contributor.authorOh, Sangwoo-
dc.contributor.authorPaek, Se-Hwan-
dc.contributor.authorHa, Un-Hwan-
dc.contributor.authorSeo, Sungkyu-
dc.date.accessioned2021-09-05T02:35:57Z-
dc.date.available2021-09-05T02:35:57Z-
dc.date.created2021-06-15-
dc.date.issued2014-12-
dc.identifier.issn0167-7012-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/96669-
dc.description.abstractA novel biofilm detection platform, which consists of a cost-effective red, green, and blue light-emitting diode (RGB LED) as a light source and a lens-free CMOS image sensor as a detector, is designed. This system can measure the diffraction patterns of cells from their shadow images, and gather light absorbance information according to the concentration of biofilms through a simple image processing procedure. Compared to a bulky and expensive commercial spectrophotometer, this platform can provide accurate and reproducible biofilm concentration detection and is simple, compact, and inexpensive. Biofilms originating from various bacterial strains, including Pseudomonas aeruginosa (P. aeruginosa), were tested to demonstrate the efficacy of this new biofilm detection approach. The results were compared with the results obtained from a commercial spectrophotometer. To utilize a cost-effective light source (i.e., an LED) for biofilm detection, the illumination conditions were optimized. For accurate and reproducible biofilm detection, a simple, custom-coded image processing algorithm was developed and applied to a five-megapixel CMOS image sensor, which is a cost-effective detector. The concentration of biofilms formed by P. aeruginosa was detected and quantified by varying the indole concentration, and the results were compared with the results obtained from a commercial spectrophotometer. The correlation value of the results from those two systems was 0.981 (N = 9, P < 0.01) and the coefficients of variation (CVs) were approximately threefold lower at the CMOS image-sensor platform. (C) 2014 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER-
dc.titleA simple and low-cost biofilm quantification method using LED and CMOS image sensor-
dc.typeArticle-
dc.contributor.affiliatedAuthorPaek, Se-Hwan-
dc.contributor.affiliatedAuthorHa, Un-Hwan-
dc.contributor.affiliatedAuthorSeo, Sungkyu-
dc.identifier.doi10.1016/j.mimet.2014.10.004-
dc.identifier.scopusid2-s2.0-84908403541-
dc.identifier.wosid000347605900025-
dc.identifier.bibliographicCitationJOURNAL OF MICROBIOLOGICAL METHODS, v.107, pp.150 - 156-
dc.relation.isPartOfJOURNAL OF MICROBIOLOGICAL METHODS-
dc.citation.titleJOURNAL OF MICROBIOLOGICAL METHODS-
dc.citation.volume107-
dc.citation.startPage150-
dc.citation.endPage156-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaMicrobiology-
dc.relation.journalWebOfScienceCategoryBiochemical Research Methods-
dc.relation.journalWebOfScienceCategoryMicrobiology-
dc.subject.keywordAuthorSpectrophotometer-
dc.subject.keywordAuthorBiofilms-
dc.subject.keywordAuthorCMOS image sensor-
dc.subject.keywordAuthorRGB LED-
dc.subject.keywordAuthorBacterial cells-
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