Location History:
- Los Angeles, CA (US) (2022)
- Clifton Heights, PA (US) (2022)
Company Filing History:
Years Active: 2022-2025
Title: Harun Gunaydin: Innovator in Deep Learning Microscopy
Introduction
Harun Gunaydin is a prominent inventor based in Los Angeles, CA. He has made significant contributions to the field of microscopy through his innovative approaches that leverage deep learning techniques. With a total of 3 patents, Gunaydin is at the forefront of advancing imaging technologies.
Latest Patents
One of his latest patents is titled "Systems and methods for deep learning microscopy." This invention involves a microscopy method that utilizes a trained deep neural network executed by software on computing devices. The network is trained with a set of images that includes co-registered pairs of high-resolution and low-resolution microscopy images. This method allows for rapid output of improved images with enhanced spatial resolution, depth-of-field, signal-to-noise ratio, and image contrast.
Another notable patent is "Method and system for phase recovery and holographic image reconstruction using a neural network." This method focuses on phase retrieval and holographic image reconstruction by obtaining a single hologram intensity image. The trained deep neural network processes the real and imaginary input images to generate output images with significantly suppressed artifacts, achieving phase recovery and auto-focusing.
Career Highlights
Harun Gunaydin is affiliated with the University of California, where he continues to push the boundaries of microscopy and imaging technologies. His work is characterized by a strong emphasis on integrating artificial intelligence with traditional imaging methods.
Collaborations
Gunaydin collaborates with esteemed colleagues such as Aydogan Ozcan and Yair Rivenson. Their combined expertise enhances the research and development of innovative imaging solutions.
Conclusion
Harun Gunaydin's contributions to deep learning microscopy exemplify the intersection of technology and science. His patents reflect a commitment to improving imaging techniques, which can have far-reaching implications in various fields.