Smartphone-based multispectral imaging improves fluorescence diagnostics, indicating better clinical applications.
Modern smartphones equipped with integrated red-green-blue (RGB) cameras are widely used for biomedical imaging and diagnostic assays. However, their limited spectral resolution prevents accurate fluorescence imaging and quantitative sensing. Recent advancements in smartphone-based multispectral imaging (MSI), such as multi-channel CMOS sensors and Bragg mirror-based spectral filters, provide direct multi-wavelength detection with enhanced spectral accuracy. The shift from RGB imaging to MSI smartphones significantly improves fluorescence imaging and sensing by allowing precise differentiation of overlapping emission spectra, true-color fluorescence observation, and quantitative assessment of fluorescent biomarkers. These characteristics are important for fluorescence-based diagnostics, point-of-care testing, and novel applications such as contact-lens sensors and fluorescence-guided imaging. Smartphone-based MSI platforms provide compact, user-friendly, and high-resolution devices that enhance the depth and accuracy of fluorescence imaging and optical sensing in biomedical research and clinical applications.
No takes yet. Share an insight, caveat, or question.
Lakowicz et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: