Seong et al. developed a new paper-based lateral flow assay (LFA) device has been developed to measure glycated albumin (GA) and total human serum albumin (tHSA) levels in self-monitoring diabetes patients. The device utilizes boronic acid-derived agarose beads packed into a hole on a lateral flow channel, which capture GA through specific cis-diol interactions and enhance colorimetric signals by concentrating the target molecules. The device demonstrated a large dynamic range (10 μg/ml to 10 mg/ml for GA and 10 mg/ml to 50 mg/ml for tHSA) and low detection limits (7.1 μg/ml for GA and 4.7 mg/ml for tHSA) that cover the reference range of GA and tHSA in healthy plasma. The device showed good agreement with a standard ELISA kit in determining unknown GA concentrations in commercial human plasma samples, with relative percentage differences of 2.62% and 8.80%. The measurements of GA and tHSA were completed within 20 min, fulfilling the demand for rapid analysis, and the device showed high accuracy in device accuracy tests. The device has great potential for the sensitive detection of GA and tHSA in self-monitoring systems for diabetes patients. Lee et al. reported a Angular-based Measurement for Quantitative assay of Albumin in threedimensional Paper-based analytical Device. In this study, a new method for quantitative detection of albumin without using an image analyzer is presented. The approach is based on angular measurements of three-dimensional paper-based analytical devices (3D-PADs). The 3D-PADs are rapidly fabricated using the wax-printing and laminating process, and then treated with citrate buffer and tetrabromophenol blue to react with albumin in a sample solution. When the sample solution is dropped onto the sample pad in the 3D-PAD, fluid flows toward the assay zone laterally and vertically through capillary action. The angle of the discolored area in the 3D-PADs reflects the concentration of albumin and serves as a reliable determinant for measurement. This is the first demonstration of angular-based detection as a simple, inexpensive, and equipment-free approach for point-of-care diagnosis.