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Super‐resolution imaging for cell biologists
Author(s) -
Fornasiero Eugenio F.,
Opazo Felipe
Publication year - 2015
Publication title -
bioessays
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.175
H-Index - 184
eISSN - 1521-1878
pISSN - 0265-9247
DOI - 10.1002/bies.201400170
Subject(s) - resolution (logic) , superresolution , nanotechnology , computer science , field (mathematics) , data science , artificial intelligence , materials science , image (mathematics) , mathematics , pure mathematics
The recent 2014 Nobel Prize in chemistry honored an era of discoveries and technical advancements in the field of super‐resolution microscopy. However, the applications of diffraction‐unlimited imaging in biology have a long road ahead and persistently engage scientists with new challenges. Some of the bottlenecks that restrain the dissemination of super‐resolution techniques are tangible, and include the limited performance of affinity probes and the yet not capillary diffusion of imaging setups. Likewise, super‐resolution microscopy has introduced new paradigms in the design of projects that require imaging with nanometer‐resolution and in the interpretation of biological images. Besides structural or morphological characterization, super‐resolution imaging is quickly expanding towards interaction mapping, multiple target detection and live imaging. Here we review the recent progress of biologists employing super‐resolution imaging, some pitfalls, implications and new trends, with the purpose of animating the field and spurring future developments.