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

被引:19
作者
Kwak, Yeon Hwa [1 ,2 ]
Lee, Junhee [1 ]
Lee, Junghoon [3 ]
Kwak, Soo Hwan [4 ]
Oh, Sangwoo [1 ,5 ]
Paek, Se-Hwan [3 ]
Ha, Un-Hwan [3 ]
Seo, Sungkyu [1 ]
机构
[1] Korea Univ, Dept Elect & Informat Engn, Sejong 339700, South Korea
[2] Korea Elect Technol Inst, Songnam 463816, South Korea
[3] Korea Univ, Dept Biotechnol & Bioinformat, Sejong 339700, South Korea
[4] Korea Natl Univ Transportat, Dept Business Adm, Chungju 380702, South Korea
[5] Korea Inst Ocean Sci & Technol, Taejon 305343, South Korea
关键词
Spectrophotometer; Biofilms; CMOS image sensor; RGB LED; Bacterial cells;
D O I
10.1016/j.mimet.2014.10.004
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A 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.
引用
收藏
页码:150 / 156
页数:7
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