Virtual-'light-sheet' single-molecule localisation microscopy enables quantitative optical sectioning for super-resolution imaging.
Virtual-'light-sheet' single-molecule localisation microscopy enables quantitative optical sectioning for super-resolution imaging.
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DOI:
10.1371/journal.pone.0125438
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Lee SF
中科院分区:
文献类型:
--
作者:
Palayret M;Armes H;Basu S;Watson AT;Herbert A;Lando D;Etheridge TJ;Endesfelder U;Heilemann M;Laue E;Carr AM;Klenerman D;Lee SF
Single-molecule super-resolution microscopy allows imaging of fluorescently-tagged proteins in live cells with a precision well below that of the diffraction limit. Here, we demonstrate 3D sectioning with single-molecule super-resolution microscopy by making use of the fitting information that is usually discarded to reject fluorophores that emit from above or below a virtual-'light-sheet', a thin volume centred on the focal plane of the microscope. We describe an easy-to-use routine (implemented as an open-source ImageJ plug-in) to quickly analyse a calibration sample to define and use such a virtual light-sheet. In addition, the plug-in is easily usable on almost any existing 2D super-resolution instrumentation. This optical sectioning of super-resolution images is achieved by applying well-characterised width and amplitude thresholds to diffraction-limited spots that can be used to tune the thickness of the virtual light-sheet. This allows qualitative and quantitative imaging improvements: by rejecting out-of-focus fluorophores, the super-resolution image gains contrast and local features may be revealed; by retaining only fluorophores close to the focal plane, virtual-'light-sheet' single-molecule localisation microscopy improves the probability that all emitting fluorophores will be detected, fitted and quantitatively evaluated.
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影响因子:
9.2
作者:
Bone, N;Millar, JBA;Armstrong, J
通讯作者:
Armstrong, J
DOI:
10.1073/pnas.0900245106
发表时间:
2009-03-03
影响因子:
11.1
作者:
Pavani, Sri Rama Prasanna;Thompson, Michael A.;Moerner, W. E.
通讯作者:
Moerner, W. E.
影响因子:
48
作者:
Rust, Michael J.;Bates, Mark;Zhuang, Xiaowei
通讯作者:
Zhuang, Xiaowei
影响因子:
5.8
作者:
Lando D;Endesfelder U;Berger H;Subramanian L;Dunne PD;McColl J;Klenerman D;Carr AM;Sauer M;Allshire RC;Heilemann M;Laue ED
通讯作者:
Laue ED
影响因子:
48
作者:
Juette, Manuel F.;Gould, Travis J.;Bewersdorf, Joerg
通讯作者:
Bewersdorf, Joerg