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Scientists have created an extremely fast scientific camera that captures images at an encoding speed of 156 ,3 THz for individual pixels, equivalent to 156.3 trillion frames per second. The research-grade SCARF (swept-coded aperture real-time femtophotography) camera could lead to breakthroughs in the study of microevents that come and go too quickly for modern scientific sensors.
The SCARF camera has already successfully captured ultrafast events such as absorption in a semiconductor and demagnetization of a metal alloy. The research could open up new areas in areas such as the mechanics of shock waves or the development of more effective medical solutions.
The research team was led by Professor Jinyang Liang from the Canadian National Institute of Scientific Research (INRS). He is an internationally recognized expert in ultra-high-speed photography, building on his findings from a separate study 6 years ago.
Professor Liang and his team prepared the study as a new look at ultra-high-speed cameras. Typically, these systems use a sequential approach: capturing frames one at a time and stitching 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 studied in this way,” Liang said.< /p>
The new SCARF camera builds on Liang's previous research to change the logic of a traditional ultra-fast camera.
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“Its imaging modality allows ultra-fast switching of a static coded aperture without disrupting the ultra-fast phenomenon. This enables full sequence encoding rates 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 reflection and transmission modes.”
In other words, the camera uses a 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 for 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 then be processed using a computer algorithm that decodes the input data in a checkerboard pattern, turning each of the trillions of frames into a complete image.
It is noteworthy that such results were achieved “using off-the-shelf and passive optical components.” The team describes SCARF as a low-cost technique with low power consumption and high measurement quality compared to existing methods.
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