Abstract
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%).
Highlights
Lateral flow immunoassay, known as immunochromatographic (ICG) assay, has been reported on a great deal for its several benefits—high sensitivity, ease of operation, low budget, etc. [1,2,3,4]
Colloidal gold-based ICG assay has been demonstrated to be potentially useful for medical diagnosis and detection of food safety, pathogen, drugs, environment, etc. [5,8,9,10,11,12,13,14]
Several studies have been reported on photoelectric detection systems for ICG assays
Summary
Known as immunochromatographic (ICG) assay, has been reported on a great deal for its several benefits—high sensitivity, ease of operation, low budget, etc. [1,2,3,4]. The scans can be performed very rapidly and it gets a 1-D signal along the scanning axis which results in a lower computational burden In this context, several studies have been reported on photoelectric detection systems for ICG assays. This work develops a printed calibration strip for the calibration of an ICG assay-based photoelectric detection system. This work was based on analyzing features of the test strip by performing an image processing algorithm, which seeks the relation of the OD value and characteristic quantity of the test strip image. Verification of these printed calibration strips is performed by analyzing the linear correlation between OD and the spectral reflectance of the printed calibration strips.
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