{"title":"Advances in Super-resolution Stimulated Raman Scattering Microscopy.","authors":"William J Tipping, Karen Faulds, Duncan Graham","doi":"10.1021/cbmi.4c00057","DOIUrl":null,"url":null,"abstract":"<p><p>Super-resolution optical imaging overcomes the diffraction limit in light microscopy to enable the visualization of previously invisible molecular details within a sample. The realization of super-resolution imaging based on stimulated Raman scattering (SRS) microscopy represents a recent area of fruitful development that has been used to visualize cellular structures in three dimensions, with multiple spectroscopic colors at the nanometer scale. Several fundamental approaches to achieving super-resolution SRS imaging have been reported, including optical engineering strategies, expansion microscopy, deconvolution image analysis, and photoswitchable SRS reporters as methods to break the diffraction limit. These approaches have enabled the visualization of biological structures, cellular interactions, and dynamics with unprecedented detail. In this Perspective, an overview of the current strategies and capabilities for achieving super-resolution SRS imaging will be highlighted together with an outlook on potential directions of this rapidly evolving field.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"2 11","pages":"733-743"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11600147/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical & Biomedical Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1021/cbmi.4c00057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/25 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Super-resolution optical imaging overcomes the diffraction limit in light microscopy to enable the visualization of previously invisible molecular details within a sample. The realization of super-resolution imaging based on stimulated Raman scattering (SRS) microscopy represents a recent area of fruitful development that has been used to visualize cellular structures in three dimensions, with multiple spectroscopic colors at the nanometer scale. Several fundamental approaches to achieving super-resolution SRS imaging have been reported, including optical engineering strategies, expansion microscopy, deconvolution image analysis, and photoswitchable SRS reporters as methods to break the diffraction limit. These approaches have enabled the visualization of biological structures, cellular interactions, and dynamics with unprecedented detail. In this Perspective, an overview of the current strategies and capabilities for achieving super-resolution SRS imaging will be highlighted together with an outlook on potential directions of this rapidly evolving field.
期刊介绍:
Chemical & Biomedical Imaging is a peer-reviewed open access journal devoted to the publication of cutting-edge research papers on all aspects of chemical and biomedical imaging. This interdisciplinary field sits at the intersection of chemistry physics biology materials engineering and medicine. The journal aims to bring together researchers from across these disciplines to address cutting-edge challenges of fundamental research and applications.Topics of particular interest include but are not limited to:Imaging of processes and reactionsImaging of nanoscale microscale and mesoscale materialsImaging of biological interactions and interfacesSingle-molecule and cellular imagingWhole-organ and whole-body imagingMolecular imaging probes and contrast agentsBioluminescence chemiluminescence and electrochemiluminescence imagingNanophotonics and imagingChemical tools for new imaging modalitiesChemical and imaging techniques in diagnosis and therapyImaging-guided drug deliveryAI and machine learning assisted imaging