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Camera able to capture imagery of an optical Mach cone

Physics

Camera able to capture imagery of an optical Mach cone

A graphic depicting the capture of a superluminal photonic Mach cone using loss-less encoding compressed ultrafast photography. Credit: Jinyang Liang and Lihong V. Wang (Phys.org)—A team of researchers at Washington University in St. Louis has built a camera apparatus capable of capturing moving imagery of an optical Mach cone. In their paper published in the journal Science Advances, the team describes their image capturing system and other possible applications of the technology. Most everyone knows that when an object like a jet moves faster than the speed of sound, an acoustic cone is created in its wake that can be heard as a sonic boom. Scientists have theorized that the same type of phenomenon could occur with light, but until now, have not be able to prove it by capturing images of it in action. In this new effort, the researchers have done just that, and have developed an image capturing system capable of taking images of other ultrafast events, as well.
To capture imagery of an optical Mach cone, the researchers approached the problem from both sides—by developing a superfast imaging system and by slowing down light.
The second part was easy; all they had to do was shine a laser through a medium—in this case, a tunnel with dry ice particles that was placed between plates made of aluminum oxide powder and silicone rubber. The light from the laser subsequently traveled faster as it moved through the tunnel compared to the plates, allowing for the formation of an optical Mach cone.The video will load shortlyNarration and animation of the LLE-CUP system. Credit: Jinyang Liang and Lihong V. WangTo capture imagery of the cone, the researchers installed three CCD cameras next to the cone-generating apparatus, one of which was a streak camera (it works by converting photons to electrons and bending the path they take). The streak camera was also fitted with patterned filters that allowed for capturing still 2-D sequences of images, each of which was assigned a code—after a cone was created and imaged, a 3-D image of it was created by combining the 2-D pieces in ways reminiscent of a CT scanner. The other two cameras were used to provide more perspective and to improve resolution.
The result of the effort was the first ever video of the cone-shaped wake of light known as a photonic or optical Mach cone. The researchers suggest the same technique could be used to capture imagery of other events such as individual neurons firing—they note it is capable of capturing images at speeds up to 100 billion fps.The video will load shortlyExperimentally imaged laser pulse propagation under a subluminal condition. Credit: Liang et al. Sci. Adv.2017;3:e1601814The video will load shortlyFirst author Jinyang Liang discussing why the loss-less encoding compressed ultrafast photography system is novel. Credit: Jinyang Liang and Lihong V. WangExplore further:Imaging at the speed of light
More information: Jinyang Liang et al. Single-shot real-time video recording of a photonic Mach cone induced by a scattered light pulse, Science Advances (2017). DOI: 10.1126/sciadv.1601814
Abstract
Ultrafast video recording of spatiotemporal light distribution in a scattering medium has a significant impact in biomedicine. Although many simulation tools have been implemented to model light propagation in scattering media, existing experimental instruments still lack sufficient imaging speed to record transient light-scattering events in real time. We report single-shot ultrafast video recording of a light-induced photonic Mach cone propagating in an engineered scattering plate assembly. This dynamic light-scattering event was captured in a single camera exposure by lossless-encoding compressed ultrafast photography at 100 billion frames per second. Our experimental results are in excellent agreement with theoretical predictions by time-resolved Monte Carlo simulation. This technology holds great promise for next-generation biomedical imaging instrumentation.

Journal reference:Science Advances

© 2017 Phys.org

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