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Scientists have created an extremely fast scientific camera that captures images at an encoding rate of 156.3 THz for individual pixels, which is equivalent to 156.3 trillion frames per second. The research-grade SCARF (swept-coded aperture real-time femtophotography) camera could lead to a breakthrough in the study of micro-events that come and go too quickly for modern scientific sensors.
The SCARF camera has already successfully recorded ultrafast events such as absorption in a semiconductor and demagnetization of a metal alloy. The research could open up new frontiers in areas such as shock wave mechanics or the development of more effective medical solutions.
The research team was led by Professor Jinyang Liang from the Canadian National Institute for Scientific Research (INRS). He is a world-renowned expert in high-speed photography, based on his findings from a separate study 6 years ago.
Professor Liang and his group prepared the study as a new look at ultra-high-speed cameras. Typically, these systems use a sequential approach: capture frames one at a time and stitch them together to observe moving objects. But this approach has limitations.
“For example, phenomena such as femtosecond laser ablation, shock wave interaction with living cells, and optical chaos cannot be investigated in this way,” Liang said.
The new SCARF camera builds on Liang’s previous research to change the logic of the traditional ultrafast camera.
“Its imaging modality allows ultrafast switching of a static coded aperture without breaking the ultrafast phenomenon. This provides a full sequence encoding rate of up to 156.3 THz for individual pixels on a charge-coupled device (CCD) camera. These results can be obtained in a single frame with adjustable frame rate and spatial scale in both display and transmission modes.”
In other words, the camera uses the computational imaging modality to capture spatial information by allowing light to enter its sensor at a slightly different time. Not having to process spatial data now partially frees up the camera to capture these extremely fast laser pulses at up to 156.3 trillion times per second. The raw image data can be processed using a computer algorithm that decodes the input data in a staggered fashion, turning each of the trillions of frames into a complete image.
It is noteworthy that such results were achieved “using ready-made and passive optical components.” The team describes SCARF as a low-cost method with low energy consumption and high measurement quality compared to existing methods.
Source: Engadget
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