Fluorescence fluctuation-based superresolution techniques can achieve fast superresolution imaging on a cost-effective wide-field platform at a low light level with reduced phototoxicity. However, the current methods exhibit certain imaging deficiencies that misinterpret nanoscale features reconstructed from fluctuating image sequences, thus degrading the superresolution imaging quality and performance. Here we propose cross-cumulant enhanced radiality nanoscopy (CERN), which employs cross-cumulant analysis in tandem with radiality processing. We demonstrated that CERN can significantly improve the spatial resolution at a low light level while eliminating the misinterpretations of nanoscale features of the existing fluctuation-based superresolution methods. In the experiment, we further verified the superior performance of CERN over the current methods through performing multicolor superresolution imaging of subcellular microtubule networks and clathrin-coated pits as well as the high-precision reconstruction of densely packed RNA transcripts.

中文翻译：

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用于多色超分辨率亚细胞成像的相关交叉累积量和径向显微镜

基于荧光波动的超分辨率技术可以在具有成本效益的宽视场平台上在低光照水平下实现快速超分辨率成像，同时降低光毒性。然而，当前的方法表现出某些成像缺陷，这些缺陷会误解从波动图像序列重建的纳米级特征，从而降低超分辨率成像质量和性能。在这里，我们提出了交叉累积量增强径向纳米镜（CERN），它采用交叉累积量分析与径向处理相结合。我们证明了 CERN 可以显着提高低光照水平下的空间分辨率，同时消除对现有基于波动的超分辨率方法的纳米级特征的误解。在实验中，