Temporal Point Spread Function Deconvolution in Time-resolved Fluorescence Lifetime Imaging Using Deep Learning Model Vikas Pandey,Ismail Erbas,Xavier Michalet,Arin Ulku,Claudio Bruschini,Edoardo Charbon,Xavier IntesOptica Biophotonics Congress Biomedical Optics 2024 (Translational, Microscopy, OCT, OTS, BRAIN)（2024）被引用0|浏览7摘要We report a deep RNN model for temporal point spread function (TPSFs) deconvolution in multimodal imaging systems to extract true sample fluorescence decay rate. It’s performance has been validated in phantom and well-plate data.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
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