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Slow light speeds up the microscopic world

Posted on 17 September 2015

Researchers, including a team from the University of York, have slowed down the speed of light in a process which could have major applications in fundamental science and medical diagnosis.

Dr Mark Scullion and Professor Thomas Krauss, from York’s Department of Physics, created a specially fabricated nanostructure and used it to drive particles at high speed along a track of light.

The work, which included collaboration with the University of St Andrews and is published in the international journal Optica, could open up more rapid methods of understanding disease or indeed the way we look at the biological world in general.

As light bends through a transparent object such as a marble, it exerts a minuscule but important force. The marble could not move as the force is too weak, but the force is sufficient to move and propel particles the size of blood cells or smaller.

Light moves at 186,000 miles per second but can be slowed down in glass, for example, by a third.

The researchers designed special nanostructures made from silicon that affect the motion of photons, called photonic crystals, to reduce the speed further.

The effect is like placing speed bumps into the light’s path, and the researchers managed to slow the light down by 95 per cent, corresponding to a reduction by a factor 20 compared to free space.

The team then placed particles on top of the photonic crystal and used the slow light effect to actually increase the propulsion of the particles, as the slower light exerts a stronger force on the particles than would otherwise be the case.

Optical forces can allow scientists to move, collect and sort minuscule particles in the biological world, including separating abnormal from healthy cells or viruses.

The St Andrews and York team of scientists have now shown how to enhance this interaction using slow light.

Dr Scullion said: “This exciting marriage of two fields leads to new ways of moving viruses, cells and bacteria that could open up more rapid methods of understanding disease or looking at the biological world in general.”

The work was supported by the UK Engineering and Physical Sciences Research Council.

 

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