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本数据集为基于芯片的全内反射荧光显微镜（total internal reflection fluorescence microscopy）成像数据，样本为经鬼笔环肽-ATTO647N（phalloidin-ATTO647N）标记的固定鲑鱼角膜细胞，采用660纳米激发光及10倍0.3数值孔径水浸物镜完成采集。 论文摘要如下：光子芯片基全内反射荧光显微镜（photonic chip-based total internal reflection fluorescence microscopy, c-TIRFM）是一项新兴技术，可实现与检测物镜解耦的大尺寸全内反射激发视场。此外，得益于宽波导固有的多模态特性，该平台可便捷地在照明模式中引入时域涨落。基于荧光涨落的纳米成像技术多信号分类算法（Multiple Signal Classification Algorithm, MUSICAL）无需假设发射体发光的随机独立性，因此可利用多模态照明模式等其他来源产生的涨落信号。本研究验证了利用照明涨落结合MUSICAL算法对鲑鱼角膜细胞内肌动蛋白（actin）进行超分辨成像（super-resolution imaging）的可行性。经测量，相较于对应传统成像结果，该方法的分辨率提升了2.2至3.6倍。 DHH搭建了本成像系统并参与了数据采集工作。