基于多层感知机的荧光波动超分辨显微成像  

Fluorescence Fluctuation⁃Based Super⁃Resolution Microscopic Imaging Based on a Multilayer Perceptron

作　　者：曾志平 许必晴 邱锦 陈欣怡 许灿华[1] 黄衍堂[1] Zeng Zhiping;Xu Biqing;Qiu Jin;Chen Xinyi;Xu Canhua;Huang Yantang(College of Physics and Information Engineering,Fuzhou University,Fuzhou 350108,Fujian,China)

机构地区：[1]福州大学物理与信息工程学院,福建福州350108

出　　处：《中国激光》2024年第21期62-72,共11页Chinese Journal of Lasers

基　　金：福建省自然科学基金(2022J01546);国家自然科学基金(61905041)。

摘　　要：基于荧光波动的超分辨显微成像是一类经济、便捷、适用性广的超分辨显微技术,但其在不同荧光时域波动条件下的成像质量具有较大差异,而且目前尚无统一的方法能够在不同类型荧光波动信号下均实现高质量的超分辨图像重建。因此,研究荧光波动特性变化对超分辨重建图像质量的影响至关重要。本课题组系统开展了多种超分辨成像方法在各种荧光波动条件下的成像研究。首先基于MATLAB软件开发了荧光波动超分辨成像软件系统,实现了多种荧光波动超分辨方法的同步运行并生成了数据集;然后对多种超分辨方法的性能及成像质量进行了多维度的系统研究,并构建了多层感知机模型,用于分选不同荧光波动信号条件下最适用的超分辨成像方法。结果表明,所构建的多层感知机模型的输出准确率达到了92.3%,具备准确可靠的分类识别能力,能够促进荧光波动超分辨成像技术更高效地应用于各类生物亚细胞器的超精细结构研究。Objective Due to its economic advantages,convenience of use,and wide applicability,fluorescence fluctuation-based superresolution microscopy has rapidly advanced in recent years and has garnered increased attention and application.Compared with other super-resolution imaging techniques,fluorescence fluctuation-based super-resolution microscopy offers lower system costs and is particularly suitable for imaging live cells,demonstrating exceptional performance in observing subcellular structures and monitoring dynamic processes.Specifically,variations in the fluorescence fluctuation characteristics significantly affect the quality of the superresolution reconstructed images.Therefore,a systematic investigation of image quality under various fluorescence fluctuation conditions is crucial for identifying the most suitable super-resolution imaging approach.These fluorescence fluctuation conditions include parameters such as the number of image-acquisition frames,signal-to-noise ratio,bright-to-dark state probability,and brightto-dark fluorescence intensity ratio,which directly affect image clarity,the signal-to-noise ratio,and accuracy.Thoroughly examining these conditions,we can effectively select and optimize the super-resolution imaging method that meet specific research requirements and experimental conditions.Methods We developed a fluorescence fluctuation-based super-resolution comprehensive imaging reconstruction platform using MATLAB.This platform integrates four super-resolution methods,namely,SOFI,MSSR,MUSICAL,and SPARCOM,and can simulate fluorescence fluctuation signals under different conditions while simultaneously applying multiple super-resolution methods to generate datasets.The platform also supports the import and reconstruction of experimental data and presents the reconstruction results clearly and intuitively on the platform interface,thus allowing users to conveniently compare the imaging results of different approaches.A comprehensive image-quality assessment is then conducted on these simulated

关 键 词：超分辨成像 荧光波动 多层感知机 衍射极限 

分 类 号：O436[机械工程—光学工程]