Gao Yue-Ming, Wei Jian-Chong, Mak Peng-Un, Vai Mang-I, Du Min, Pun Sio-Hang
College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, China.
Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou 350116, China.
Sensors (Basel). 2016 Jun 29;16(7):1007. doi: 10.3390/s16071007.
With many benefits and applications, immunochromatographic (ICG) assay detection systems have been reported on a great deal. However, the existing research mainly focuses on increasing the dynamic detection range or application fields. Calibration of the detection system, which has a great influence on the detection accuracy, has not been addressed properly. In this context, this work develops a calibration strip for ICG assay photoelectric detection systems. An image of the test strip is captured by an image acquisition device, followed by performing a fuzzy c-means (FCM) clustering algorithm and maximin-distance algorithm for image segmentation. Additionally, experiments are conducted to find the best characteristic quantity. By analyzing the linear coefficient, an average value of hue (H) at 14 min is chosen as the characteristic quantity and the empirical formula between H and optical density (OD) value is established. Therefore, H, saturation (S), and value (V) are calculated by a number of selected OD values. Then, H, S, and V values are transferred to the RGB color space and a high-resolution printer is used to print the strip images on cellulose nitrate membranes. Finally, verification of the printed calibration strips is conducted by analyzing the linear correlation between OD and the spectral reflectance, which shows a good linear correlation (R² = 98.78%).
免疫层析（ICG）分析检测系统具有诸多优点和应用，相关报道众多。然而，现有研究主要集中在扩大动态检测范围或拓展应用领域。对检测精度有重大影响的检测系统校准问题尚未得到妥善解决。在此背景下，本工作开发了一种用于ICG分析光电检测系统的校准试纸条。通过图像采集设备获取试纸条图像，然后对其执行模糊C均值（FCM）聚类算法和最大最小距离算法进行图像分割。此外，还进行实验以找到最佳特征量。通过分析线性系数，选择14分钟时色调（H）的平均值作为特征量，并建立H与光密度（OD）值之间的经验公式。因此，通过多个选定的OD值计算出H、饱和度（S）和明度（V）。然后，将H、S和V值转换到RGB颜色空间，并使用高分辨率打印机在硝酸纤维素膜上打印试纸条图像。最后，通过分析OD与光谱反射率之间的线性相关性对打印的校准试纸条进行验证，结果显示具有良好的线性相关性（R² = 98.78%）。
