Device-Agnostic Single-Emitter Super-Resolution Using Deep LearningDominik Vašinka, Filip Juran, Jaromír Behal,Miroslav JežekQuantum Optics and Photon Counting 2025(2025)被引用0|浏览0摘要We demonstrate a device-agnostic deep learning approach for super-resolution single-emitter microscopy. The presented method is calibration-free and directly predicts super-resolved images independently of the optical system.更多查看译文上传PDF原文链接分享引用加入学术空间AI Read Science数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cnChat Paper正在生成论文摘要