Simultaneous multiple-emitter fitting for single molecule super-resolution imaging.

Simultaneous multiple-emitter fitting for single molecule super-resolution imaging.
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DOI:
10.1364/boe.2.001377
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发表时间:
2011-04-29
影响因子:
3.4
通讯作者:
Lidke KA
Lidke KA
中科院分区:
医学2区
文献类型:
--
作者:
Huang F;Schwartz SL;Byars JM;Lidke KA

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基于单分子定位的超分辨率成像技术需要对许多单发射体进行重复定位。我们描述了一种方法,该方法使用最大似然估计本地化多个发射器同时在一个单一的,二维的拟合子区域,产生一个数量级的改善公差的分析例程方面的单帧有源发射器密度。多发射器拟合使得单分子超分辨率的整体性能能够在若干度量中的一个或多个度量中得到改善,这导致局部有源发射器的更高单帧密度。为了提高速度,该算法在图形处理单元(GPU)架构上实现,导致分析时间为几分钟。我们展示了多个发射器拟合作为单帧有效发射器密度的函数的性能。我们描述了算法的细节,允许强大的拟合,GPU实现的细节,以及数据集分析所需的其他成像处理步骤。
Single molecule localization based super-resolution imaging techniques require repeated localization of many single emitters. We describe a method that uses the maximum likelihood estimator to localize multiple emitters simultaneously within a single, two-dimensional fitting sub-region, yielding an order of magnitude improvement in the tolerance of the analysis routine with regards to the single-frame active emitter density. Multiple-emitter fitting enables the overall performance of single-molecule super-resolution to be improved in one or more of several metrics that result in higher single-frame density of localized active emitters. For speed, the algorithm is implemented on Graphics Processing Unit (GPU) architecture, resulting in analysis times on the order of minutes. We show the performance of multiple emitter fitting as a function of the single-frame active emitter density. We describe the details of the algorithm that allow robust fitting, the details of the GPU implementation, and the other imaging processing steps required for the analysis of data sets.