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Optimizing Experimental Conditions for STED and g-STED Microscopy

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Karl Beeson, Mary J. Potasek and Evgueni Parilov, Simphotek Inc.

The advent of superresolution microscopy has been groundbreaking in its ability to image biological samples, allowing researchers to study previously inaccessible details within cellular processes. New software provides a unique imaging optimization method for STED and g-STED by simulating the entire process – including absorption, overlapping excitation and donut-shaped STED beams. The development of superresolution microscopy has been a major advancement for biological imaging. Coupled with such biological probes as green fluorescent protein (GFP), superresolution microscopy has...Read full article

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    Published: July 2015
    Glossary
    superresolution
    Superresolution refers to the enhancement or improvement of the spatial resolution beyond the conventional limits imposed by the diffraction of light. In the context of imaging, it is a set of techniques and algorithms that aim to achieve higher resolution images than what is traditionally possible using standard imaging systems. In conventional optical microscopy, the resolution is limited by the diffraction of light, a phenomenon described by Ernst Abbe's diffraction limit. This limit sets a...
    sted microscopy
    STED microscopy, or stimulated emission depletion microscopy, is a superresolution imaging technique in fluorescence microscopy that surpasses the diffraction limit, enabling the visualization of structures at the nanoscale level. This technique was developed to overcome the limitations imposed by the diffraction of light, which traditionally hindered the resolution of optical microscopy to a few hundred nanometers. Key features and principles of STED microscopy: Superresolution: STED...
    FeaturessuperresolutionBiophotonicsImagingMicroscopyAmericasSTED microscopyg-STED microscopybiological imagingcellular processesimaging softwareSimphotekstimulated emission depletion microscopySimphoSOFTSimphoSOFT numerical simulationsimulation softwaresuperresolution microscopySTED beamsCW-STEDKarl BeesonMary J. PotasekEvgueni ParilovNew Jersey

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