After several investigations, specialists from universities Princeton and Washington They found a way to make camera The same size as a grain of salt with the ability to Image Processing High quality. This means a great discovery and progress in Medical and scientific fieldBecause it will open the door to more detailed explorations of the human body.
Although there are some already nano cameras Which are used in the medical field to perform operations and analyzes such as those involved in them binoculars Or taking pictures of the brain, the sides that were taken were weak.
unlike Professional cameras or cell phone cameras which have more and more power, smaller ones have technical limitations inherent in their size.
“We designed a completely different learning framework Learn the physical structure of the superstructure Together with an algorithm for image reconstruction based on neural properties,” they explained in the article.
“metasurface” refers to their new system with an ideal surface area of 1.6 million cylindrical shafts at just half a millimeter each. These poles act as light-receiving antennas, which work in image algorithms.
Hence, the discovery of members of American universities has caused quite a stir, using an ultra-compact camera and with the best image processing They will be able to conduct new medical studies or use in other areas where this is required.
They note that the camera has been proven to operate up to aperture 2.0, which means that even in low-light conditions, it can take pictures.
They also noted that they were able to reduce chromatic aberrations indicating the color of the image, by reducing the focal length of the camera. With all this, they can reproduce clearer images than those already in the field.
“We jointly improve the metasurface and deconvolution algorithm With an end-to-end differentiable imaging model.
They indicated that through their research, they were able to overcome the current methods of some construction errors outside the standard wavelength range in the experimental captures, which shows the quality of the image.
“In our model, the polynomial coefficients that define the supersurface stage are optimizable variables, while the experimentally calibrated parameters characterizing the sensor readout and sensor metasurface distance are fixed.”
In more simple words, the file camera It has the ability to adapt to the variables that may be in front of it (as if it were an automatic mode), while the parameters of other models are calibrated according to experience and fixed.
In addition, they set out to build their own A device that simulates neural networks It facilitates low- and high-level learning, while allowing information to be encoded and disseminated, beyond mere processing and transmission.
The Princeton and Washington Scholars Point out that although they found a compact camera that was free of chromatic aberrations, they wanted to extend their work to flexible images using nanophotonics Reconfigurable for various tasks that can be categorized or detected.
Finally, the creators of this technology mentioned some of the benefits and future applications related to their invention. “We believe the proposed method takes an essential step towards Ultra-compact cameras It could allow new applications in endoscopy, brain imaging, or in a distributed manner over body surfaces.”