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      Enhanced detection of fluorescence fluctuations for high-throughput super-resolution imaging

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          Image Quality Assessment: From Error Visibility to Structural Similarity

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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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                Author and article information

                Contributors
                Journal
                Nature Photonics
                Nat. Photon.
                Springer Science and Business Media LLC
                1749-4885
                1749-4893
                June 15 2023
                Article
                10.1038/s41566-023-01234-9
                14c2c5db-f36d-43fa-8f35-c79423b4fd5f
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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