Multi-dimensional super-resolution imaging enables surface hydrophobicity mapping

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 M. Dobson, David Klenerman and Steven F. Lee ()
Additional contact information
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
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

Nature Communications, 2016, vol. 7, issue 1, 1-9

Abstract: 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.

Date: 2016
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DOI: 10.1038/ncomms13544

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