UK uses carbon nanotubes to obtain the smallest holographic pixel to date

The UK uses carbon nanotubes to obtain the smallest holographic pixel to date. Researchers at the University of Cambridge in the United Kingdom published a report in the new academic journal "Advanced Materials" that they used carbon nanotubes to form the smallest holographic pixel to date to obtain high-definition holograms. Image, this technology is expected to enhance the visual experience of holographic images in the future. Holographic imaging technology mainly refers to the use of interference and diffraction principles to record and reproduce real three-dimensional images of objects. This technology has been shown in many science fiction movies that describe future life. According to the report, the researchers used carbon nanotubes, which are only one-hundredth of a hair thick, to conduct and scatter light to obtain the smallest holographic pixels to date. By arranging many carbon nanotubes on a silicon wafer, the researchers used these tiny holographic pixels to spell out a holographic image of the English word "Cambridge". Researcher Heidel Bart said that the smaller the pixels, the higher the resolution, and the holographic images obtained with this technique can achieve very high resolution. In addition, this technology can also make the holographic image have a larger field of view. In addition to enhancing the visual experience of holographic images, this technology can also be used to manufacture highly sensitive holographic image sensors. Minor changes in the target object in terms of distance, angle, and even the density of certain constituent substances can be displayed by this holographic image. However, the application of this technology still needs to overcome two difficulties: one is that the cost of carbon nanotubes is higher, and researchers are trying to replace carbon nanotubes with materials such as zinc oxide; second, this technology can only display static Researchers are still exploring how to use it to display dynamic holographic images.

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