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Breaking the Diffraction Barrier: Super-Resolution Imaging of Cells
Author(s) -
Bo Huang,
Hazen P. Babcock,
Xiaowei Zhuang
Publication year - 2010
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2010.12.002
Subject(s) - biology , superresolution , microbiology and biotechnology , resolution (logic) , computational biology , biophysics , computer vision , image (mathematics) , artificial intelligence , computer science
Anyone who has used a light microscope has wished that its resolution could be a little better. Now, after centuries of gradual improvements, fluorescence microscopy has made a quantum leap in its resolving power due, in large part, to advancements over the past several years in a new area of research called super-resolution fluorescence microscopy. In this Primer, we explain the principles of various super-resolution approaches, such as STED, (S)SIM, and STORM/(F)PALM. Then, we describe recent applications of super-resolution microscopy in cells, which demonstrate how these approaches are beginning to provide new insights into cell biology, microbiology, and neurobiology.

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