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Parallel super-resolution imaging

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Massive parallelization of scanning-based super-resolution imaging allows fast imaging of large fields of view.

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Figure 1: Parallelized RESOLFT imaging uses ∼110,000 donuts to scan a sample.

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Authors and Affiliations

  1. Christopher J. Rowlands and Peter T.C. So are in the Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA.,

    Christopher J Rowlands & Peter T C So

  2. Elijah Y.S. Yew and Peter T.C. So are at SMART-BioSyM, Singapore.,

    Elijah Y S Yew & Peter T C So

  3. Peter T.C. So is at the Laser Biomedical Research Center and in the Department of Mechanical Engineering, MIT, Cambridge, Massachusetts, USA.,

    Peter T C So

Authors
  1. Christopher J Rowlands
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  2. Elijah Y S Yew
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  3. Peter T C So
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Correspondence to Peter T C So.

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The authors declare no competing financial interests.

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Rowlands, C., Yew, E. & So, P. Parallel super-resolution imaging. Nat Methods 10, 709–710 (2013). https://doi.org/10.1038/nmeth.2567

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