Toggle light / dark theme

Recent advancements in deep learning have significantly impacted computational imaging, microscopy, and holography-related fields. These technologies have applications in diverse areas, such as biomedical imaging, sensing, diagnostics, and 3D displays. Deep learning models have demonstrated remarkable flexibility and effectiveness in tasks like image translation, enhancement, super-resolution, denoising, and virtual staining. They have been successfully applied across various imaging modalities, including bright-field and fluorescence microscopy; deep learning’s integration is reshaping our understanding and capabilities in visualizing the intricate world at microscopic scales.

In computational imaging, prevailing techniques predominantly employ supervised learning models, necessitating substantial datasets with annotations or ground-truth experimental images. These models often rely on labeled training data acquired through various methods, such as classical algorithms or registered image pairs from different imaging modalities. However, these approaches have limitations, including the laborious acquisition, alignment, and preprocessing of training images and the potential introduction of inference bias. Despite efforts to address these challenges through unsupervised and self-supervised learning, the dependence on experimental measurements or sample labels persists. While some attempts have used labeled simulated data for training, accurately representing experimental sample distributions remains complex and requires prior knowledge of sample features and imaging setups.

To address these inherent issues, researchers from the UCLA Samueli School of Engineering introduced an innovative approach named GedankenNet, which, on the other hand, presents a revolutionary self-supervised learning framework. This approach eliminates the need for labeled or experimental training data and any resemblance to real-world samples. By training based on physics consistency and artificial random images, GedankenNet overcomes the challenges posed by existing methods. It establishes a new paradigm in hologram reconstruction, offering a promising solution to the limitations of supervised learning approaches commonly utilized in various microscopy, holography, and computational imaging tasks.

Transparent Holographic video glass wall with 4k resolution.
Glimm has made for one of her clients a transparent video wall called as well holographic video wall indoor with holographic content and video s for indoor location.
The video wall exist of 8 panels of 55 inch TOLED displays which we have combined all together and hide the transformers and graphic cards in a small aluminium frame.
The resolution is 4K and the display is of glass in the glass.
Technology explaining :
TOLED stands for Transparent Organic Light-Emitting Diode. It is a display technology that combines the benefits of both OLED (Organic Light-Emitting Diode) and transparent displays.
In TOLED, each pixel of the display consists of a thin layer of organic materials that emit light when an electric current passes through them. These organic materials are sandwiched between transparent electrodes, typically made of indium tin oxide (ITO), which allow light to pass through.
One of the key advantages of TOLED is its transparency. When the display is not actively emitting light, it appears transparent, allowing users to see through it. This property makes TOLED suitable for applications where transparency is desired, such as in heads-up displays, smart windows, or augmented reality devices or in retail designs, advertisement or create a large TOLED video wall or Hologram 2D 3D.
TOLED also offers the benefits of OLED technology, including high contrast ratios, wide viewing angles, and fast response times. The organic materials used in TOLED displays can emit light directly, eliminating the need for a separate back lighting system, which contributes to their thin and lightweight design.
Besides the Transparent OLED technology we produce as well Transparent LED displays or Transparent LCD displays.
How to combine TOLED displays together?
1. Ensure compatibility: Make sure the Transparent OLED displays you are using are compatible with each other in terms of resolution, interface, and electrical requirements.
2. Physical alignment: Align the displays physically to create a larger display area. This typically involves arranging the displays side by side or in a grid formation. Use appropriate mounting brackets or frames to secure them in place.
3. Connection: Connect the displays together using the necessary cables or connectors. The specific connection method depends on the interface supported by the TOLED displays. Common interfaces include HDMI, Display Port, or other proprietary interfaces.
4. Synchronization: If required, synchronize the displays to ensure coordinated content across all the panels. This may involve configuring the displays through software or hardware synchronization methods. Consult the manufacturer’s instructions or documentation for guidance on synchronization options.
5. Display control: Depending on the setup and software capabilities, you may need to adjust display settings, such as resolution, refresh rate, or color calibration, to optimize the combined TOLED display.
6. Content management: Use appropriate software or programming techniques to distribute and display content across the combined TOLED displays. This could involve treating them as a single large display or as individual screens, depending on your requirements.

By following these steps, you can effectively combine multiple TOLED displays to create a larger and visually cohesive display area.

For further information call us : 0031652563455.
Please email: [email protected] or call our office +31505893112.

Contact:

Gas accidents such as toxic gas leakage in factories, carbon monoxide leakage of boilers, or toxic gas suffocation during manhole cleaning continue to claim lives and cause injuries. Developing a sensor that can quickly detect toxic gases or biochemicals is still an important issue in public health, environmental monitoring, and military sectors. Recently, a research team at POSTECH has developed an inexpensive, ultra-compact wearable hologram sensor that immediately notifies the user of volatile gas detection.


[Professor Junsuk Rho’s research team at POSTECH develops wearable gas sensors that display instantaneous visual holographic alarm.].

From 2021

A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more — and it can run on a smartphone.

YouTube.


The novel optical hologram creating method is three orders of magnitude better than the current ways.

Researchers from the University of Science and Technology of China have developed a new method for creating realistic 3D holographic projections, which is three orders of magnitude better than the current state-of-the-art technology.

The study on the ultrahigh-density method for producing realistic holograms was published in the peer-reviewed journal Optica. Led by Lei Gong, the team developed a new approach to holography that overcame some of the long-standing limitations of current digital holographic techniques.


Optica.

Researchers have developed a new method for creating realistic 3D holographic projections that are three orders of magnitude better than the current state-of-the-art technology. Previous attempts to improve the resolution of holograms have run into three basic roadblocks. However, this new ultrahigh-density method shows that two of those have now been solved, dramatically improving the overall quality, resolution, and appearance of holographic projections.

“Our new method overcomes two long-existing bottlenecks in current digital holographic techniques — low axial resolution and high interplane crosstalk — that prevent fine depth control of the hologram and thus limit the quality of the 3D display,” said Lei Gong, who led a research team from the University of Science and Technology of China. “Our approach could also improve holography-based optical encryption by allowing more data to be encrypted in the hologram.”

Limitations of Current Methods for Generating Holograms.

face_with_colon_three year 2022.


AdS/CFT Proves Its Usefulness

One of the first uses of AdS/CFT had to do with understanding black holes. Theoreticians had long been grappling with a paradox thrown up by these enigmatic cosmic objects. In the 1970s Stephen Hawking showed that black holes emit thermal radiation, in the form of particles, because of quantum mechanical effects near the event horizon. In the absence of infalling matter, this “Hawking” radiation would cause a black hole to eventually evaporate. This idea posed a problem. What happens to the information contained in the matter that formed the black hole? Is the information lost forever? Such a loss would go against the laws of quantum mechanics, which say that information cannot be destroyed.

A key theoretical work that helped tackle this question came in 2006, when Shinsei Ryu and Tadashi Takayanagi used the AdS/CFT duality to establish a connection between two numbers, one in each theory. One pertains to a special type of surface in the volume of spacetime described by AdS. Say there’s a black hole in the AdS theory. It has a surface, called an extremal surface, which is the boundary around the black hole where spacetime makes the transition from weak to strong curvature (this surface may or may not lie inside the black hole’s event horizon). The other number, which pertains to the quantum system being described by the CFT, is called entanglement entropy and is a measure of how much one part of the quantum system is entangled with the rest. The Ryu-Takayanagi result showed that the area of the extremal surface of a black hole in the AdS is related to the entanglement entropy of the quantum system in the CFT.