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      Super-resolution dipole orientation mapping via polarization demodulation

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          Abstract

          Fluorescence polarization microscopy (FPM) aims to detect the dipole orientation of fluorophores and to resolve structural information for labeled organelles via wide-field or confocal microscopy. Conventional FPM often suffers from the presence of a large number of molecules within the diffraction-limited volume, with averaged fluorescence polarization collected from a group of dipoles with different orientations. Here, we apply sparse deconvolution and least-squares estimation to fluorescence polarization modulation data and demonstrate a super-resolution dipole orientation mapping (SDOM) method that resolves the effective dipole orientation from a much smaller number of fluorescent molecules within a sub-diffraction focal area. We further apply this method to resolve structural details in both fixed and live cells. For the first time, we show that different borders of a dendritic spine neck exhibit a heterogeneous distribution of dipole orientation. Furthermore, we illustrate that the dipole is always perpendicular to the direction of actin filaments in mammalian kidney cells and radially distributed in the hourglass structure of the septin protein under specific labelling. The accuracy of the dipole orientation can be further mapped using the orientation uniform factor, which shows the superiority of SDOM compared with its wide-field counterpart as the number of molecules is decreased within the smaller focal area. Using the inherent feature of the orientation dipole, the SDOM technique, with its fast imaging speed (at sub-second scale), can be applied to a broad range of fluorescently labeled biological systems to simultaneously resolve the valuable dipole orientation information with super-resolution imaging.

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          Nonlinear structured-illumination microscopy: wide-field fluorescence imaging with theoretically unlimited resolution.

          Contrary to the well known diffraction limit, the fluorescence microscope is in principle capable of unlimited resolution. The necessary elements are spatially structured illumination light and a nonlinear dependence of the fluorescence emission rate on the illumination intensity. As an example of this concept, this article experimentally demonstrates saturated structured-illumination microscopy, a recently proposed method in which the nonlinearity arises from saturation of the excited state. This method can be used in a simple, wide-field (nonscanning) microscope, uses only a single, inexpensive laser, and requires no unusual photophysical properties of the fluorophore. The practical resolving power is determined by the signal-to-noise ratio, which in turn is limited by photobleaching. Experimental results show that a 2D point resolution of <50 nm is possible on sufficiently bright and photostable samples.
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            Survey over image thresholding techniques and quantitative performance evaluation

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              Fast, background-free, 3D super-resolution optical fluctuation imaging (SOFI).

              Super-resolution optical microscopy is a rapidly evolving area of fluorescence microscopy with a tremendous potential for impacting many fields of science. Several super-resolution methods have been developed over the last decade, all capable of overcoming the fundamental diffraction limit of light. We present here an approach for obtaining subdiffraction limit optical resolution in all three dimensions. This method relies on higher-order statistical analysis of temporal fluctuations (caused by fluorescence blinking/intermittency) recorded in a sequence of images (movie). We demonstrate a 5-fold improvement in spatial resolution by using a conventional wide-field microscope. This resolution enhancement is achieved in iterative discrete steps, which in turn allows the evaluation of images at different resolution levels. Even at the lowest level of resolution enhancement, our method features significant background reduction and thus contrast enhancement and is demonstrated on quantum dot-labeled microtubules of fibroblast cells.
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                Author and article information

                Journal
                Light Sci Appl
                Light Sci Appl
                Light, Science & Applications
                Nature Publishing Group
                2095-5545
                2047-7538
                October 2016
                21 October 2016
                1 October 2016
                : 5
                : 10
                : e16166
                Affiliations
                [1 ]Department of Biomedical Engineering, College of Engineering, Peking University , Beijing 100871, China
                [2 ]Department of Automation, Tsinghua University , Beijing 100084, China
                [3 ]Bioinformatics Division, TNLIST, MOE Key Laboratory of Bioinformatics and Center for Synthetic & Systems Biology, Tsinghua University , Beijing 100084, China
                [4 ]Department of Radiology, Peking University Third Hospital , Beijing 100191, China
                [5 ]Department of Biological Sciences, Center for Systems Biology, The University of Texas , Dallas 800 West Campbell Road, RL11, Richardson, TX 75080-3021, USA
                [6 ]Department of Basic Medical Sciences, School of Medicine, Tsinghua University , Beijing 100084, China
                [7 ]Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, NSW 2007, Australia
                Author notes
                [✝]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-8331-6240
                http://orcid.org/0000-0003-1046-2666
                http://orcid.org/0000-0001-6626-4840
                Article
                lsa2016166
                10.1038/lsa.2016.166
                6059828
                30167126
                04c62558-24e3-4653-ba1d-0e475eb59302
                Copyright © 2016 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/

                History
                : 26 December 2015
                : 09 May 2016
                : 17 May 2016
                Categories
                Original Article

                dipole,fluorescence polarization microscopy,orientation mapping,polarization modulation,super-resolution

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