Yidan Rong, Chukai Lin, Min Qi, Wenxuan Fu, Bin Su
{"title":"Recent Advances in Electrochemiluminescence Imaging Applications","authors":"Yidan Rong, Chukai Lin, Min Qi, Wenxuan Fu, Bin Su","doi":"10.1021/cbmi.5c00252","DOIUrl":null,"url":null,"abstract":"<p>Electrochemiluminescence (ECL) is\r\na special form of chemiluminescence,\r\nwhere light emission results from electrochemically triggered chemical\r\nreactions. By eliminating the requirement for external excitation\r\nlight, ECL achieves near-zero background signals, making it a powerful\r\ntool for imaging applications. This review provides a comprehensive\r\noverview of the recent advances in ECL imaging. It begins by elucidating\r\nthe fundamental mechanisms of ECL and emphasizing its inherent advantages\r\nfor imaging applications. The key components of ECL imaging systems\r\nare outlined, with a detailed comparison of three primary microscope\r\nconfigurations, namely, upright, inverted, and side-view. Representative\r\napplications of ECL imaging are subsequently discussed, including\r\nvisual biochemical detection, imaging of biological entities, single-particle\r\nanalysis, and information encryption. Finally, we address current\r\nlimitations of ECL imaging technology and propose potential solutions,\r\nhighlighting promising directions for future development and broader\r\napplications.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"4 6","pages":"984–1003"},"PeriodicalIF":6.7000,"publicationDate":"2026-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical & Biomedical Imaging","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/cbmi.5c00252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/16 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Electrochemiluminescence (ECL) is
a special form of chemiluminescence,
where light emission results from electrochemically triggered chemical
reactions. By eliminating the requirement for external excitation
light, ECL achieves near-zero background signals, making it a powerful
tool for imaging applications. This review provides a comprehensive
overview of the recent advances in ECL imaging. It begins by elucidating
the fundamental mechanisms of ECL and emphasizing its inherent advantages
for imaging applications. The key components of ECL imaging systems
are outlined, with a detailed comparison of three primary microscope
configurations, namely, upright, inverted, and side-view. Representative
applications of ECL imaging are subsequently discussed, including
visual biochemical detection, imaging of biological entities, single-particle
analysis, and information encryption. Finally, we address current
limitations of ECL imaging technology and propose potential solutions,
highlighting promising directions for future development and broader
applications.
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