This article summarizes the development of lateral flow immunoassay for SARS-CoV-2 antigen detection. Lateral flow immunoassay is a rapid, low cost, and ease of use detection tool that has been widely applied in clinical and public health sectors. Since the outbreak of COVID-19, the technique has been adopted for rapid antigen diagnostic test of SARS-CoV-2, including commonly used colloidal gold nanoparticle-based lateral flow immunoassays as well as various fluorescence-based lateral flow immunoassays. With innovations in labelling methods, this detection technique has been in continuous development and is shifting from qualitative toward quantitative as well as gaining sensitivity.
The development of intravital microscopy (IVM) has enabled researchers to perform in-situ, real-time observations of pulmonary micro-circulation at the cellular level, and has become instrumental for researching the immune micro-environment of pulmonary diseases. This article introduces the developments in constructing the pulmonary imaging window and summarizes the current light microscopy techniques used for lung IVM with regard to its relevant functional and application features, which includes wide field fluorescence microscopy, confocal microscopy, as well as two-photon microscopy. It then provides examples of IVM of pulmonary immune response in inflammation and infection in murine models, and finally specifies the technological limitations to provide reference for researchers to systematically learn and understand the technology.
This paper reviews the research progress on live-cell super-resolution fluorescence microscopy, discusses the current research status and hotspots in this field, and summarizes the technological application of super-resolution fluorescence microscopy for live-cell imaging. To date, this field has gained progress in numerous aspects. Specifically, the structured illumination microscopy, stimulated emission depletion microscopy, and the recently introduced minimal photon fluxes microscopy are the current research hotspots. According to the current progress in this field, future development trend is likely to be largely driven by artificial intelligence as well as advances in fluorescent probes and relevant labelling methods.