Stochastic optical reconstruction microscopy market overview and competitive landscape to 2021

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Stochastic Optical Reconstruction Microscopy Market Overview and Competitive Landscape to 2021 “Super-resolution microscopy is a form of light microscopy. Super-resolution techniques allow images to be taken with a higher resolution than the diffraction limit. The factors that propel the market growth include increasing research and development activities. In addition, high-tech innovations such as super resolution microscopy, high-throughput techniques, and digitization of microscopes are also fuelling the growth of the market.� The global Stochastic Optical Reconstruction Microscopy (STORM) market is classified on the basis of product type, application and geography. Super-resolution microscopy is a form of light microscopy. Super-resolution techniques allow images to be taken with a higher resolution than the diffraction limit. There are different types of super-resolution microscopy such as stochastic optical reconstruction microscopy (STORM), structured illumination microscopy (SIM), stimulated emission depletion microscopy (STED), coherent anti-strokes Raman scattering microscopy (CARS), photoactivated localization microscopy (PALM), and reversible saturable optical fluorescence transitions (RESOLFT). Browse Full Research Report @ https://www.millioninsights.com/industry-reports/stochastic-optical-reconstruction-microscopy-storm-market In conventional fluorescence microscopy where all fluorophores in the sample are fluorescent, their diffraction limited images overlap, creating a smooth but blurred picture. STORM is based on stochastic switching of single-molecule fluorescence signal. STORM utilizes fluorescent probes that can switch between fluorescent and dark states so that in every snapshot, only a small, optically resolvable fraction of the fluorophores is detected. This assists determining their positions with high accuracy from the centre positions of the fluorescent spots. With multiple snapshots of the sample,


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