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Elements S3 • E40

We’ve Just Invented the World’s Fastest Camera

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Published on Nov 25, 2018

Scientist just invented a 10 trillion frame per second camera that can allow them to see light in slow motion.

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How Do You Test the World’s Fastest Jet Engines? - https://youtu.be/8cHRmj42tcQ

Read More:
Single-shot real-time femtosecond imaging of temporal focusing
https://www.nature.com/articles/s4137...
“Thus far, established ultrafast imaging techniques either struggle to reach the desired exposure time or require repeatable measurements. We have developed single-shot 10-trillion-frame-per-second compressed ultrafast photography (T-CUP), which passively captures dynamic events with 100-fs frame intervals in a single camera exposure. The synergy between compressed sensing and the Radon transformation empowers T-CUP to significantly reduce the number of projections needed for reconstructing a high-quality three-dimensional spatiotemporal datacube.”

World’s fastest camera freezes time at 10 trillion frames per second
http://www.inrs.ca/english/actualites...
““We knew that by using only a femtosecond streak camera, the image quality would be limited,” says Professor Lihong Wang, the Bren Professor of Medial Engineering and Electrical Engineering at Caltech and the Director of Caltech Optical Imaging Laboratory (COIL).. “So to improve this, we added another camera that acquires a static image. Combined with the image acquired by the femtosecond streak camera, we can use what is called a Radon transformation to obtain high-quality images while recording ten trillion frames per second.”

Image Projections and the Radon Transform
https://www.clear.rice.edu/elec431/pr...
“To be able to study different reconstruction techniques, we first needed to write a (MATLAB) program that took projections of a known image. Having the original image along with the projections gives us some idea of how well our algorithm performs. The projection code is pretty simple. Basically, we take the image (which is just a matrix of intensities in MATLAB), rotate it, and sum up the intensities. In MATLAB this is easily accomplished with the 'imrotate' and 'sum' commands.
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