|These are stem cells becoming fat cells. Using the ultrasound technique, we can start exploring why fat cells put on fat and whether we can make the cells 'diet'.|
The new nanoscale ultrasound technique uses shorter-than-optical wavelengths of sound and could even rival the optical super-resolution techniques which won the 2014 Nobel Prize for Chemistry.
This new kind of sub-optical phonon (sound) imaging provides invaluable information about the structure, mechanical properties and behaviour of individual living cells at a scale not achieved before.
Researchers from the Optics and Photonics group in the Faculty of Engineering, University of Nottingham, are behind the discovery, which is published in the paper 'High resolution 3D imaging of living cells with sub-optical wavelength phonons' in the journal, Scientific Reports.
"People are most familiar with ultrasound as a way of looking inside the body -- in the simplest terms we've engineered it to the point where it can look inside an individual cell. Nottingham is currently the only place in the world with this capability," said Professor Matt Clark, who contributed to the study.
In conventional optical microscopy, which uses light (photons), the size of the smallest object you can see (or the resolution) is limited by the wavelength.
For biological specimens, the wavelength cannot go smaller than that of blue light because the energy carried on photons of light in the ultraviolet (and shorter wavelengths) is so high it can destroy the bonds that hold biological molecules together damaging the cells.
Optical super-resolution imaging also has distinct limitations in biological studies. This is because the fluorescent dyes it uses are often toxic and it requires huge amounts of light and time to observe and reconstruct an image which is damaging to cells.
Unlike light, sound does not have a high-energy payload. This has enabled the Nottingham researchers to use smaller wavelengths and see smaller things and get to higher resolutions without damaging the cell biology.
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