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Three-Dimensional Super-Resolution in Eukaryotic Cells Using the Double-Helix Point Spread Function.


ABSTRACT: Single-molecule localization microscopy, typically based on total internal reflection illumination, has taken our understanding of protein organization and dynamics in cells beyond the diffraction limit. However, biological systems exist in a complicated three-dimensional environment, which has required the development of new techniques, including the double-helix point spread function (DHPSF), to accurately visualize biological processes. The application of the DHPSF approach has so far been limited to the study of relatively small prokaryotic cells. By matching the refractive index of the objective lens immersion liquid to that of the sample media, we demonstrate DHPSF imaging of up to 15-?m-thick whole eukaryotic cell volumes in three to five imaging planes. We illustrate the capabilities of the DHPSF by exploring large-scale membrane reorganization in human T cells after receptor triggering, and by using single-particle tracking to image several mammalian proteins, including membrane, cytoplasmic, and nuclear proteins in T cells and embryonic stem cells.

SUBMITTER: Carr AR 

PROVIDER: S-EPMC5390298 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Three-Dimensional Super-Resolution in Eukaryotic Cells Using the Double-Helix Point Spread Function.

Carr Alexander R AR   Ponjavic Aleks A   Basu Srinjan S   McColl James J   Santos Ana Mafalda AM   Davis Simon S   Laue Ernest D ED   Klenerman David D   Lee Steven F SF  

Biophysical journal 20170401 7


Single-molecule localization microscopy, typically based on total internal reflection illumination, has taken our understanding of protein organization and dynamics in cells beyond the diffraction limit. However, biological systems exist in a complicated three-dimensional environment, which has required the development of new techniques, including the double-helix point spread function (DHPSF), to accurately visualize biological processes. The application of the DHPSF approach has so far been li  ...[more]

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