Patents by Inventor Nicholas William Caira

Nicholas William Caira has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20210326690
    Abstract: The goal of computer generated holography (CGH) is to synthesize custom illumination patterns by shaping the wavefront of a coherent light beam. Existing algorithms for CGH rely on iterative optimization with a fundamental trade-off between hologram fidelity and computation speed, making them inadequate for high-speed holography applications such as optogenetic photostimulation, optical trapping, or virtual reality displays. We propose a new algorithm, DeepCGH, that relies on a convolutional neural network to eliminate iterative exploration and rapidly synthesize high resolution holograms with fixed computational complexity. DeepCGH is an unsupervised model which can be tailored for specific tasks with customizable training data sets and an explicit cost function. Results show that our method computes 3D holograms at record speeds and with better accuracy than existing techniques.
    Type: Application
    Filed: April 20, 2021
    Publication date: October 21, 2021
    Inventors: Nicolas Christian Richard P├ęgard, Mohammad Hossein Eybposh, Nicholas William Caira, Mathew Abuya Atisa, Praneeth Kumar Chakravarthula