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A high-density 3D localization algorithm for stochastic optical reconstruction microscopy

机译:对于随机光学重构显微术的高密度三维定位算法

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摘要

BackgroundStochastic optical reconstruction microscopy (STORM) and related methods achieves sub-diffraction-limit image resolution through sequential activation and localization of individual fluorophores. The analysis of image data from these methods has typically been confined to the sparse activation regime where the density of activated fluorophores is sufficiently low such that there is minimal overlap between the images of adjacent emitters. Recently several methods have been reported for analyzing higher density data, allowing partial overlap between adjacent emitters. However, these methods have so far been limited to two-dimensional imaging, in which the point spread function (PSF) of each emitter is assumed to be identical.
机译:背景技术随机光学重建显微镜(STORM)和相关方法通过顺序激活和定位单个荧光团来实现亚衍射极限图像分辨率。这些方法对图像数据的分析通常仅限于稀疏激活机制,在这种稀疏激活机制中,激活的荧光团的密度足够低,使得相邻发射器的图像之间的重叠最小。最近,已经报道了几种分析更高密度数据的方法,从而允许相邻发射器之间部分重叠。但是,到目前为止,这些方法仅限于二维成像,其中假定每个发射器的点扩展函数(PSF)相同。

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