Multiple signal classification algorithm for super-resolution fluorescence microscopy.
Multiple signal classification algorithm for super-resolution fluorescence microscopy.
复制标题
超分辨率荧光显微镜的多个信号分类算法。
DOI:
10.1038/ncomms13752
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发表时间:
2016-12-09
影响因子:
16.6
通讯作者:
中科院分区:
文献类型:
--
作者:
Single-molecule localization techniques are restricted by long acquisition and computational times, or the need of special fluorophores or biologically toxic photochemical environments. Here we propose a statistical super-resolution technique of wide-field fluorescence microscopy we call the multiple signal classification algorithm which has several advantages. It provides resolution down to at least 50 nm, requires fewer frames and lower excitation power and works even at high fluorophore concentrations. Further, it works with any fluorophore that exhibits blinking on the timescale of the recording. The multiple signal classification algorithm shows comparable or better performance in comparison with single-molecule localization techniques and four contemporary statistical super-resolution methods for experiments of in vitro actin filaments and other independently acquired experimental data sets. We also demonstrate super-resolution at timescales of 245 ms (using 49 frames acquired at 200 frames per second) in samples of live-cell microtubules and live-cell actin filaments imaged without imaging buffers. Single-molecule localization microscopy offers super-resolution imaging, but needs a long acquisition time and a toxic photochemical environment. Here, the authors demonstrate a multiple signal classification algorithm that achieves a resolution of 50 nm with as few as 50 frames in a biologically conducive environment.
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影响因子:
48
作者:
Dempsey, Graham T.;Vaughan, Joshua C.;Chen, Kok Hao;Bates, Mark;Zhuang, Xiaowei
通讯作者:
Zhuang, Xiaowei
影响因子:
64.8
作者:
EGELMAN, EH;FRANCIS, N;DEROSIER, DJ
通讯作者:
DEROSIER, DJ
影响因子:
2.4
作者:
Gruber, FK;Marengo, EA;Devaney, AJ
通讯作者:
Devaney, AJ
DOI:
10.1073/pnas.0907866106
发表时间:
2009-12-29
影响因子:
11.1
作者:
Dertinger, T.;Colyer, R.;Enderlein, J.
通讯作者:
Enderlein, J.
影响因子:
7.8
作者:
FOWLER, WE;AEBI, U
通讯作者:
AEBI, U