Cost-effective, high-performance diagnostic methods are a need for accessible, affordable, and high-quality healthcare in both developed and developing countries. Latest technological developments have steered the growth in the development of novel and rapid diagnostic tests having the potential for the better management and control of different diseases. However, most of these tests/assays rely on visual or naked-eye detection which is limited to qualitative or semi-quantitative analysis. Further, such detection approaches often lack consistency. The increase in adaptation of image-based assays (IBA) and point-of-care diagnostics is motivated by the above-mentioned need for quality quantitative assays with consistency apart from no requirement for trained technicians. In this review, we have focused on the basic requirements for an image-based assay system for point-of-care diagnostics which include: (i) matrices/substrates as a reaction zone, and (ii) the analytical tools for the quantification of such assays. Thousands of literature reports about image-based assays have been published and various substrates used in this context are available. Suitable applications of each substrate and the technique by which they are digitized are discussed. Also, the progress in affordable diagnostic technologies, the specific quantification methodology used, and the fusion of new and improved devices for diagnostics and clinical applications, associated challenges and ways of improvement have been discussed in the present work. Through this review, it is expected that researchers will get a clear perception of the image-based assay system, its benefits, challenges, and future improvements necessitated in achieving the ultimate purpose of managing disease and diagnostics cost-effectively.
Read full abstract