Measuring localization confidence for quantifying accuracy and heterogeneity in single-molecule super-resolution microscopy
Measuring localization confidence for quantifying accuracy and heterogeneity in single-molecule super-resolution microscopy
复制标题
测量定位置信度以量化单分子超分辨率显微镜中的准确性和异质性
DOI：
10.1117/12.2545033
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Lew, Matthew D.
中科院分区：
文献类型：
--
作者：
Mazidi, Hesam;Ding, Tianben;Nehorai, Arye;Lew, Matthew D.
我们提出了一种计算方法，称为Wasserstein诱导通量（WIF），在没有样本的地面真理知识的情况下，在单分子定位显微镜（SMLM）数据集内稳健地量化个体定位的准确性。WIF依赖于这样的观察，即精确的局部化相对于任意的计算扰动是稳定的。 受最优传输理论的启发，我们测量了个体局部化的稳定性，并开发了一种有效的优化算法来计算WIF。我们证明了WIF的优势，在准确量化的高密度重建的微管蛋白网络的成像伪影。WIF代表了在量化具有未知和复杂分布的系统误差方面的进步，这可以改善依赖于准确和精确成像的各种下游定量分析。此外，由于其公式化为简单的分析操作层，WIF可以用作损失函数，用于优化各种计算成像模型和算法，即使没有训练数据。
We present a computational method, termed Wasserstein-induced flux (WIF), to robustly quantify the accuracy of individual localizations within a single-molecule localization microscopy (SMLM) dataset without ground- truth knowledge of the sample. WIF relies on the observation that accurate localizations are stable with respect to an arbitrary computational perturbation. Inspired by optimal transport theory, we measure the stability of individual localizations and develop an efficient optimization algorithm to compute WIF. We demonstrate the advantage of WIF in accurately quantifying imaging artifacts in high-density reconstruction of a tubulin network. WIF represents an advance in quantifying systematic errors with unknown and complex distributions, which could improve a variety of downstream quantitative analyses that rely upon accurate and precise imaging. Furthermore, thanks to its formulation as layers of simple analytical operations, WIF can be used as a loss function for optimizing various computational imaging models and algorithms even without training data.