Smartphone-Based Identification of Different Tissue Cells

Detecting specific cells and molecules in a sample poses a challenge in remote and resource-limited areas, which has resulted in the rising demand for point-of-care (POC) systems. Here, we demonstrate the design and testing of a smartphone-based tissue identification system, a valuable tool for preliminary screening, or basic tissue identification in resource-constraint settings, remote areas, or POC applications. In this letter, a system is developed to acquire the images of tissue cells such as liver, striated muscle, kidney, nerve, adipose, hyaline cartilage, and brain. The device has been calibrated by comparison with microscopic images of different types of tissue cells. The intensity profile shows relative similarity graphs between the images obtained from the microscope and the designed system. The developed system with upgradation has the potential to solve the problem of the availability of expensive facilities in remote regions.