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Multi-dimensional super-resolution imaging enables surface hydrophobicity mapping

Author

Listed:
  • Marie N. Bongiovanni

    (University of Cambridge)

  • Julien Godet

    (Laboratoire de Biophotonique et Pharmacologie, UMR CNRS 7213, Université de Strasbourg)

  • Mathew H. Horrocks

    (University of Cambridge)

  • Laura Tosatto

    (University of Cambridge
    DTI Laboratory of Neurodegenerative Diseases, Centre for Integrative Biology Università degli Studi di Trento)

  • Alexander R. Carr

    (University of Cambridge)

  • David C. Wirthensohn

    (University of Cambridge)

  • Rohan T. Ranasinghe

    (University of Cambridge)

  • Ji-Eun Lee

    (University of Cambridge)

  • Aleks Ponjavic

    (University of Cambridge)

  • Joelle V. Fritz

    (Luxembourg Centre for Systems Biomedicine, University of Luxembourg)

  • Christopher M. Dobson

    (University of Cambridge)

  • David Klenerman

    (University of Cambridge)

  • Steven F. Lee

    (University of Cambridge)

Abstract

Super-resolution microscopy allows biological systems to be studied at the nanoscale, but has been restricted to providing only positional information. Here, we show that it is possible to perform multi-dimensional super-resolution imaging to determine both the position and the environmental properties of single-molecule fluorescent emitters. The method presented here exploits the solvatochromic and fluorogenic properties of nile red to extract both the emission spectrum and the position of each dye molecule simultaneously enabling mapping of the hydrophobicity of biological structures. We validated this by studying synthetic lipid vesicles of known composition. We then applied both to super-resolve the hydrophobicity of amyloid aggregates implicated in neurodegenerative diseases, and the hydrophobic changes in mammalian cell membranes. Our technique is easily implemented by inserting a transmission diffraction grating into the optical path of a localization-based super-resolution microscope, enabling all the information to be extracted simultaneously from a single image plane.

Suggested Citation

  • Marie N. Bongiovanni & Julien Godet & Mathew H. Horrocks & Laura Tosatto & Alexander R. Carr & David C. Wirthensohn & Rohan T. Ranasinghe & Ji-Eun Lee & Aleks Ponjavic & Joelle V. Fritz & Christopher , 2016. "Multi-dimensional super-resolution imaging enables surface hydrophobicity mapping," Nature Communications, Nature, vol. 7(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13544
    DOI: 10.1038/ncomms13544
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