Replication data for: Fluorescence fluctuation-based super-resolution microscopy using multimodal waveguided illumination

The chip-based total internal reflection fluorescence microscopy data is of fixed salmon keratocytes labelled using phalloidin-ATTO647N and acquired using 660 nm excitation, 10X 0.3NA water dipping objective. Abstract of publication: Photonic chip-based total internal reflection fluorescence microscopy (c-TIRFM) is an emerging technology enabling a large TIRF excitation area decoupled from the detection objective. Additionally, due to the inherent multimodal nature of wide waveguides, it is a convenient platform for introducing temporal fluctuations in the illumination pattern. The fluorescence fluctuation-based nanoscopy technique Multiple Signal Classification Algorithm (MUSICAL) does not assume stochastic independence of the emitter emission and can therefore exploit fluctuations arising from other sources, as such multimodal illumination patterns. In this work, we demonstrate and verify the utilization of fluctuations in the illumination for super-resolution imaging using MUSICAL on actin in salmon keratocytes. The resolution improvement was measured to be 2.2–3.6-fold compared to the corresponding conventional images. DHH built the imaging system and contributed in the data acquisition

基于芯片的完全内反射荧光显微镜数据集，涉及使用鬼笔环肽-ATTO647N对固定鲑鱼角膜细胞进行标记，并采用660纳米激发光和10倍0.3NA水浸物镜进行采集。论文摘要：基于光子芯片的完全内反射荧光显微镜（c-TIRFM）是一种新兴技术，它实现了与检测物镜解耦的大面积TIRF激发区域。此外，由于宽波导固有的多模态特性，它也是引入照明模式时间波动的一个便捷平台。基于荧光波动的高分辨率显微成像技术——多重信号分类算法（MUSICAL），不假设发射器发射的随机独立性，因此可以利用来自其他来源的波动，如这种多模态照明模式。在本研究中，我们展示了MUSICAL在鲑鱼角膜细胞中用于通过照明波动进行超分辨率成像的应用与验证。分辨率提升量达到2.2至3.6倍，与相应的传统图像相比。DHH构建了成像系统并参与了数据采集。