Fast and Efficient Molecule Detection in Localization-Based Super-Resolution Microscopy by Parallel Adaptive Histogram Equalization
Fast and Efficient Molecule Detection in Localization-Based Super-Resolution Microscopy by Parallel Adaptive Histogram Equalization
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DOI：
10.1021/nn4009388
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发表时间：
2013-06-01
期刊：
影响因子：
17.1
通讯作者：
Nienhaus, G. Ulrich
中科院分区：
文献类型：
--
作者：
Li, Yiming;Ishitsuka, Yuji;Nienhaus, G. Ulrich
在基于定位的超分辨率显微镜中，单个荧光标记物被随机光激活，随后在一系列相机帧内定位，产生分辨率远远超过衍射极限的最终图像。然而，在进行定位之前，必须识别框架内存在单个分子的子区域-通常是在高背景的情况下。在这项工作中，我们解决了可靠的分子识别的最终重建的超分辨率图像的质量的重要性。我们提出了一种快速和强大的算法（a-livePALM），大大提高了分子检测效率，同时最大限度地减少可能导致图像伪影的错误分配。
In localization-based super-resolution microscopy, individual fluorescent markers are stochastically photoactivated and subsequently localized within a series of camera frames, yielding a final image with a resolution far beyond the diffraction limit. Yet, before localization can be performed, the subregions within the frames where the individual molecules are present have to be Identified-oftentimes in the presence of high background. In this work, we address the Importance of reliable molecule identification for the quality of the final reconstructed super-resolution image. We present a fast and robust algorithm (a-livePALM) that vastly improves the molecule detection efficiency while minimizing false assignments that can lead to Image artifacts.