The Regents of the University of California (20240288701). DIFFRACTIVE OPTICAL NETWORK FOR SEEING THROUGH DIFFUSIVE OR SCATTERING MEDIA simplified abstract

DIFFRACTIVE OPTICAL NETWORK FOR SEEING THROUGH DIFFUSIVE OR SCATTERING MEDIA

Organization Name

The Regents of the University of California

Inventor(s)

Aydogan Ozcan of Los Angeles CA (US)

Yi Luo of Los Angeles CA (US)

Ege Cetintas of Los Angeles CA (US)

Yair Rivenson of Los Angeles CA (US)

DIFFRACTIVE OPTICAL NETWORK FOR SEEING THROUGH DIFFUSIVE OR SCATTERING MEDIA - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240288701 titled 'DIFFRACTIVE OPTICAL NETWORK FOR SEEING THROUGH DIFFUSIVE OR SCATTERING MEDIA

The patent application describes a computer-free system that utilizes an all-optical image reconstruction method to see through random diffusers at the speed of light.

• Deep learning is used to train a set of transmissive layers to reconstruct images of distorted objects through random phase diffusers.
• The resulting diffractive layers are fabricated to form a diffractive optical network positioned between the object and the image plane to reconstruct the object pattern through a new phase diffuser.
• All-optical diffractive reconstructions do not require power except for illumination light, making them energy-efficient.
• This technology can be applied in various fields such as biomedical imaging, astronomy, security, robotics, and autonomous vehicles.

1. 1. 1. Potential Applications:

- Biomedical imaging - Astronomy - Atmospheric sciences - Oceanography - Security systems - Robotics - Autonomous vehicles

1. 1. 1. Problems Solved:

- Seeing through diffusive and scattering media - All-optical reconstruction of distorted images - Energy-efficient imaging solutions

1. 1. 1. Benefits:

- Fast image reconstruction at the speed of light - Energy-efficient operation - Versatile applications in various fields

1. 1. 1. Commercial Applications:
         1. Title: All-Optical Image Reconstruction Technology for Diverse Industries

This technology can be commercialized in industries such as biomedical imaging, security systems, and autonomous vehicles, offering fast and energy-efficient image reconstruction solutions.

1. 1. 1. Questions about All-Optical Image Reconstruction Technology:
         1. Question 1: How does the all-optical image reconstruction method differ from digital methods?

The all-optical image reconstruction method does not require power except for illumination light, making it more energy-efficient compared to digital methods.

1. 1. 1. 1. Question 2: What are the potential applications of this technology beyond biomedical imaging?

This technology can be applied in various fields such as astronomy, security systems, robotics, and autonomous vehicles, showcasing its versatility and wide-ranging impact.

Original Abstract Submitted

a computer-free system and method is disclosed that uses an all-optical image reconstruction method to see through random diffusers at the speed of light. using deep learning, a set of transmissive layers are trained to all-optically reconstruct images of arbitrary objects that are distorted by random phase diffusers. after the training stage, the resulting diffractive layers are fabricated and form a diffractive optical network that is physically positioned between the unknown object and the image plane to all-optically reconstruct the object pattern through an unknown, new phase diffuser. unlike digital methods, all-optical diffractive reconstructions do not require power except for the illumination light. this diffractive solution to see through diffusive and/or scattering media can be extended to other wavelengths, and can fuel various applications in biomedical imaging, astronomy, atmospheric sciences, oceanography, security, robotics, autonomous vehicles, among many others.