Trending...
- "Leading From Day One: The Essential Guide for New Supervisors" Draws from 25+ Years of International Management Experience - 359
- New Slotozilla Project Explores What Happens When the World Goes Silent - 288
- City of Long Beach Launches Second Cohort of Urban Planning and Design Internship Program - 263
LOS ANGELES - Californer -- UCLA researchers have created a new type of imager that can capture features much smaller than the limitations of traditional optical systems. This innovation has the potential to revolutionize fields like bioimaging, lithography and material science.
The traditional limit for resolution in optical imaging, known as the diffraction limit, restricts the ability to see details smaller than half the wavelength of light. This new imager overcomes this hurdle by employing solid-immersion diffractive encoding of spatial information.
Here's how it works: light from the object first interacts with a high-index material that is spatially structured using an optimized physical code, which encodes high-frequency information beyond the traditional diffraction limit. Then, a diffractive decoder that is jointly optimized with the encoder material processes this encoded information and creates a magnified image of the object, revealing subwavelength features.
This imaging system and its spatial structures, as part of the encoder and decoder materials, are designed using deep learning-based optimization. The resulting smart imager is particularly compact, with a design that is less than 100 times the wavelength of light in thickness. It also offers the advantage of directly performing quantitative phase retrieval – eliminating the need for lengthy and power-hungry computer processing.
More on The Californer
The researchers successfully tested the imager at terahertz frequencies and demonstrated its ability to resolve features as small as λ/3.4 (where λ is the wavelength). They also showed that the imager can handle various types of objects, including both phase and amplitude structures.
This new approach has the potential to be highly adaptable for different parts of the electromagnetic spectrum. By physically scaling the diffractive features, the imager can be designed to work with different illumination wavelengths without needing a redesign.
The researchers believe this solid-immersion diffractive imager, due to its compact size, cost-effectiveness, and ability to capture subwavelength features, will lead to significant advancements in bioimaging, sensing, and material inspection.
Original paper: https://elight.springeropen.com/articles/10.1186/s43593-024-00067-5
The traditional limit for resolution in optical imaging, known as the diffraction limit, restricts the ability to see details smaller than half the wavelength of light. This new imager overcomes this hurdle by employing solid-immersion diffractive encoding of spatial information.
Here's how it works: light from the object first interacts with a high-index material that is spatially structured using an optimized physical code, which encodes high-frequency information beyond the traditional diffraction limit. Then, a diffractive decoder that is jointly optimized with the encoder material processes this encoded information and creates a magnified image of the object, revealing subwavelength features.
This imaging system and its spatial structures, as part of the encoder and decoder materials, are designed using deep learning-based optimization. The resulting smart imager is particularly compact, with a design that is less than 100 times the wavelength of light in thickness. It also offers the advantage of directly performing quantitative phase retrieval – eliminating the need for lengthy and power-hungry computer processing.
More on The Californer
- California prepares state resources ahead of heavy rain, dry lightning, and increased fire threats
- California: Governor Newsom's expanded CHP deployment makes early impact on crime, seizing drugs and illegal guns
- California: Governor Newsom honors fallen Caltrans worker
- READY Long Beach Returns October 12
- California: Governor Newsom proclaims Preparedness Month
The researchers successfully tested the imager at terahertz frequencies and demonstrated its ability to resolve features as small as λ/3.4 (where λ is the wavelength). They also showed that the imager can handle various types of objects, including both phase and amplitude structures.
This new approach has the potential to be highly adaptable for different parts of the electromagnetic spectrum. By physically scaling the diffractive features, the imager can be designed to work with different illumination wavelengths without needing a redesign.
The researchers believe this solid-immersion diffractive imager, due to its compact size, cost-effectiveness, and ability to capture subwavelength features, will lead to significant advancements in bioimaging, sensing, and material inspection.
Original paper: https://elight.springeropen.com/articles/10.1186/s43593-024-00067-5
Source: ucla ita
Filed Under: Science
0 Comments
Latest on The Californer
- Meet a Scientologist Makes Magic with Larry Soffer
- ICYMI: California hotline receives 1,200 reports of hate in 2024
- Open Art Call | The Art of Artificial Intelligence | Copenhagen
- Jase has compounded Ivermectin and Mebendazole together to effectively treat parasitic infections!
- California: Californication of AI? Golden State is #1 in AI, and the birthplace of modern tech, so yeah — be quiet, Ted Cruz
- Premieres of 10th Annual NY Dog Film Festival & 8th Annual NY Cat Film Festival on Sunday, October 26, 2025 to Benefit Animal Lighthouse Rescue
- Inwebify Announces Launch of Scalable and Redundant Cloud Hosting Platform
- $20 Price Target in Noble Capital Research Report as Deal is Signed for NFL Yearbook Advertising Across 25 Stadiums for AI Powered Sports Leader $SEGG
- Zenni Optical Hosts Expert Panel Following the Launch of EyeQLenz™ with Zenni ID Guard™ Featuring Technology Experts Cybersecurity Girl, Judner Aura and Amber Mac
- 3E Launches First AI Agent Designed to Respond with Empathy for College Recruitment
- Security Alert: TZNXG Warns Investors About "Fund Recovery" Scams
- Assent Unveils Extended Producer Responsibility Packaging Solution to Simplify Compliance with Expanding Packaging Laws
- KatalisCoin: "Too Secure" for Bad Actors - Platform Embraces "Excessive Compliance" Criticism
- Blacksmith Raises $10M to Unblock AI Development with Fast CI for GitHub Actions
- Keyanb Exchange Implements Enhanced Security Protocols Amid Industry-Wide Trust Challenges
- TSWHZC Platform Combines Automated Portfolio Management with Proof of Reserves for Brazil Market Entry
- AureaVault Positions Digital Asset Infrastructure for Shifting Monetary Policy Environment
- JQRBT Unveils High-Speed Trading Infrastructure Designed for Growing Institutional Crypto Market
- TOM HAUSKEN: The Space Between
- California: Governor Newsom announces appointments 9.17.25