A new scheme of super-resolution optical fluctuation imaging (SOFI) is proposed to broaden its application in the high-order case by separating the elimination of shot noise from the computation of cumulant, applying the low-pass denoising (LPD) operator to SOFI. The high-order cumulants are derived from a basic recursion of moments with the suppression of shot noise by the LPD on raw data. SOFI based on LPD (LPD-SOFI) demonstrates a 10.6-fold lateral resolution enhancement with the cumulant order of the 16th and a seven-fold three-dimensional resolution enhancement with the cumulant order of the 10th in experiments performed on a sparse sample of quantum dots.

中文翻译：

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基于低通降噪的高阶超分辨率光学涨落成像

提出了一种新的超分辨率光学涨落成像（SOFI）方案，通过将散粒噪声的消除与累积量的计算分开，并将低通降噪（LPD）运算符应用于SOFI，扩展了其在高阶情况中的应用。 。高阶累积量源自矩的基本递归，并通过LPD抑制原始数据而抑制了散粒噪声。在稀疏量子样品上进行的实验中，基于LPD的SOFI（LPD-SOFI）的横向分辨率提高了10.6倍，累积量为16倍，三维分辨率提高了7倍，累积量达到了10倍。点。