World's fastest camera shoots at surprising speed of 156.3 tr fps

Canadian Researchers have been developing the world’s fastest camera which shoots at an incredible speed of 156.3 trillion frames per second.

Researchers from Énergie Matériaux Télécommunications at the Research Centre Institut national de la recherche scientifique (INRS) in Canada are developing this camera.

The greatest slow-motion cameras in phones usually perform at a few hundred frames per second (fps). Professional cinematic cameras may use several thousand fps to give a smoother appearance.

However, if you want to observe what is going on at the nanoscale, you will need to slow things down to a significant extent, to billions or even trillions of frames per second.

The new camera can capture events as small as femtoseconds or quadrillionths of a second. The researchers built on a technique they came up with in 2014 called compressed ultrafast photography (CUP). It could record 100 billion frames per second.

The next step was the development of T-CUP, which stood for “Trillion-frame-per-second,” capable of up to trillion fps. However, researchers increased the camera speed to 70 trillion fps with a variant. They named it as compressed ultrafast spectral photography (CUSP) in 2020.

The researchers have now doubled more than this camera speed reaching a mind-blowing 156.3 trillion frames per second. The new world’s fastest camera system which shoots at 156.3 tn fps has also been named “swept-coded aperture real-time femtophotography (SCARF).”

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SCARF may catch events that were too quick for previous generations of technology to detect. This comprises shock waves that pass through materials or live cells.

SCARF works by “chirped” ultrashort of laser light emission that passes through the event or object while photographing. This new technology camera will also help develop the current physics, biology, chemistry, materials science, engineering, and other fields.

Professor Jinyang Liang, scientific director of INRS’ Laboratory of Applied Computational Imaging laid the framework for SCARF. The details have been published in the journal Natural Communications.