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      Evaluation of fluorophores for optimal performance in localization-based super-resolution imaging

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          Abstract

          One approach to super-resolution fluorescence imaging uses sequential activation and localization of individual fluorophores to achieve high spatial resolution. Essential to this technique is the choice of fluorescent probes — the properties of the probes, including photons per switching event, on/off duty cycle, photostability, and number of switching cycles, largely dictate the quality of super-resolution images. While many probes have been reported, a systematic characterization of the properties of these probes and their impact on super-resolution image quality has been described in only a few cases. Here, we quantitatively characterized the switching properties of 26 organic dyes and directly related these properties to the quality of super-resolution images. This analysis provides a set of guidelines for characterization of super-resolution probes and a resource for selecting probes based on performance. Our evaluation identified several photoswitchable dyes with good to excellent performance in four independent spectral ranges, with which we demonstrated low crosstalk, four-color super-resolution imaging.

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          Most cited references62

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          Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM).

          We have developed a high-resolution fluorescence microscopy method based on high-accuracy localization of photoswitchable fluorophores. In each imaging cycle, only a fraction of the fluorophores were turned on, allowing their positions to be determined with nanometer accuracy. The fluorophore positions obtained from a series of imaging cycles were used to reconstruct the overall image. We demonstrated an imaging resolution of 20 nm. This technique can, in principle, reach molecular-scale resolution.
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            Imaging intracellular fluorescent proteins at nanometer resolution.

            We introduce a method for optically imaging intracellular proteins at nanometer spatial resolution. Numerous sparse subsets of photoactivatable fluorescent protein molecules were activated, localized (to approximately 2 to 25 nanometers), and then bleached. The aggregate position information from all subsets was then assembled into a superresolution image. We used this method--termed photoactivated localization microscopy--to image specific target proteins in thin sections of lysosomes and mitochondria; in fixed whole cells, we imaged vinculin at focal adhesions, actin within a lamellipodium, and the distribution of the retroviral protein Gag at the plasma membrane.
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              Three-dimensional super-resolution imaging by stochastic optical reconstruction microscopy.

              Recent advances in far-field fluorescence microscopy have led to substantial improvements in image resolution, achieving a near-molecular resolution of 20 to 30 nanometers in the two lateral dimensions. Three-dimensional (3D) nanoscale-resolution imaging, however, remains a challenge. We demonstrated 3D stochastic optical reconstruction microscopy (STORM) by using optical astigmatism to determine both axial and lateral positions of individual fluorophores with nanometer accuracy. Iterative, stochastic activation of photoswitchable probes enables high-precision 3D localization of each probe, and thus the construction of a 3D image, without scanning the sample. Using this approach, we achieved an image resolution of 20 to 30 nanometers in the lateral dimensions and 50 to 60 nanometers in the axial dimension. This development allowed us to resolve the 3D morphology of nanoscopic cellular structures.
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                Author and article information

                Journal
                101215604
                32338
                Nat Methods
                Nat. Methods
                Nature Methods
                1548-7091
                1548-7105
                8 November 2011
                06 November 2011
                01 June 2012
                : 8
                : 12
                : 1027-1036
                Affiliations
                [1 ]Graduate program in Biophysics, Harvard University, Cambridge, MA 02138
                [2 ]Howard Hughes Medical Institute, Harvard University, Cambridge, MA 02138
                [3 ]Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138
                [4 ]School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138
                [5 ]Department of Physics, Harvard University, Cambridge, MA 02138
                Author notes
                [* ]To whom correspondence should be addressed. zhuang@ 123456chemistry.harvard.edu
                [6]

                These authors contributed equally to this work.

                Article
                nihpa331575
                10.1038/nmeth.1768
                3272503
                22056676
                a25226bf-a37c-4c96-af36-7b7dfcac83af

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                History
                Funding
                Funded by: National Institute of General Medical Sciences : NIGMS
                Award ID: R01 GM068518-06A1 || GM
                Categories
                Article

                Life sciences
                Life sciences

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