Smartphone-Based Dual-Modality Imaging System for Quantitative Detection of Color or Fluorescent Lateral Flow Immunochromatographic Strips.
Smartphone-Based Dual-Modality Imaging System for Quantitative Detection of Color or Fluorescent Lateral Flow Immunochromatographic Strips.
复制标题
基于智能手机的双模态成像系统，用于定量检测彩色或荧光侧流免疫层析条带
DOI：
10.1186/s11671-017-2078-9
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发表时间：
2017-12
影响因子：
--
通讯作者：
Cui D
中科院分区：
文献类型：
--
作者：
Hou Y;Wang K;Xiao K;Qin W;Lu W;Tao W;Cui D
如今，侧流免疫层析测定作为基于其简单性、特异性和灵敏度的床旁（POC）测试的诊断工具越来越受欢迎。因此，医学检验迫切需要定量检测和多元化的大众化应用。在这项研究中，开发了一种基于智能手机的双模态成像系统，用于定量检测彩色或荧光侧流试纸条，该系统可以随时随地操作。该系统设计了白色和紫外（UV）光路，并采用不同波段可调，软件采用Sobel算子算法，增强了识别能力，从背景边界信息中识别出待测区域。此外，该技术基于从彩色条的RGB格式（红、绿色和蓝色）或仅从荧光条的红色格式提取分量，可以明显地提高高信号强度和灵敏度。用50份样品评价了该系统的准确性，并分别计算了人绒毛膜促性腺激素（HCG）和癌胚抗原（CEA）的理想检测限。结果表明，智能手机控制的双模态成像系统可以提供多种POC诊断，在不久的将来成为开发下一代便携式系统的潜在技术。
Nowadays, lateral flow immunochromatographic assays are increasingly popular as a diagnostic tool for point-of-care (POC) test based on their simplicity, specificity, and sensitivity. Hence, quantitative detection and pluralistic popular application are urgently needed in medical examination. In this study, a smartphone-based dual-modality imaging system was developed for quantitative detection of color or fluorescent lateral flow test strips, which can be operated anywhere at any time. In this system, the white and ultra-violet (UV) light of optical device was designed, which was tunable with different strips, and the Sobel operator algorithm was used in the software, which could enhance the identification ability to recognize the test area from the background boundary information. Moreover, this technology based on extraction of the components from RGB format (red, green, and blue) of color strips or only red format of the fluorescent strips can obviously improve the high-signal intensity and sensitivity. Fifty samples were used to evaluate the accuracy of this system, and the ideal detection limit was calculated separately from detection of human chorionic gonadotropin (HCG) and carcinoembryonic antigen (CEA). The results indicated that smartphone-controlled dual-modality imaging system could provide various POC diagnoses, which becomes a potential technology for developing the next-generation of portable system in the near future.