Info.
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Vol.18 - No.1 (2024.03.20) |
Title
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Intensity Histogram-Based Reliable Image Analysis Method for Bead-Based Fluorescence Immunoassay |
Authors
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Sanghyun Lee 1, Juyeong Kim 2 , Pankee Bae 3 , Sangmin Lee 1, Hojin Kim 2,4*
*Hojin Kim hjkim@dongseo.ac.kr |
Institutions
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1Division of Mechanical, Automotive and Robot Component
Engineering , Dong-eui University , 176 Eomgwang-ro,
Busanjin-gu , Busan 47340 , Republic of Korea
2Graduate School of Energy/Bio-Engineering , Dongseo
University , 47 Jurye-ro, Sasang-gu , Busan 47011 ,
Republic of Korea
3BioNano Health Guard Research Center (H-GUARD) , 125
Gwahak-ro, Yuseong-gu , Daejeon 34141 , South Korea
4Department of Mechanical Engineering , Dongseo University ,
47 Jurye-ro, Sasang-gu , Busan 47011 , Republic of Korea |
Abstract
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Bead-based fluorescence immunoassay is drawing attention as a next-generation technology in disease diagnosis owing to its high sensitivity and multiplexing capability. Fluorescence imaging of beads is typically used to determine their mean
fluorescence intensity. However, the mean intensity can be evaluated differently depending on the analysis methods [such as the shape and size of the region of interest (ROI)]. To address these problems, this study proposes a highly reliable and
reproducible image analysis method utilizing a fluorescence intensity-based effective pixel extraction technique. Various potential sources of defective signals (e.g., fluorescence aggregation, non-specifi c antigen–antibody reactions, and bead defects) can be prevented from contributing to the average value by selectively extracting pixels representing the specific reactions of antigens and antibodies in the ROI. In this study, we fabricated a microfluidic chip composed of multiple bead- based detection lines, performed fluorescence immunoassay, and then compared the mean fluorescence intensity calculated from the fluorescence images with that of a conventional analysis method. Using the conventional method, the evaluated average mean intensity value of beads varied significantly based on the size of the ROI with the coefficients of variation ranging from approximately 29–95%. In contrast, the effective pixel extraction method resulted in a coefficient of variation of approximately 3–7% under varying ROI size. Furthermore, the coefficients of variation for four detection lines containing various types of defective signals significantly decreased from approximately 7.1% to 2.6%. The proposed technique will help in minimizing the analysis deviation caused by different ROI selections or defective signals in fluorescent image-based immunoassays. |
Keyword
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Microfluidics · Bead immunoassay · Fluorescence image analysis · Lateral flow immunoassay |
PDF File
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