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Home NEWS Science News Chemistry

A sharper focus: New computational technique resolves compressed X-ray data

Bioengineer by Bioengineer
July 18, 2019
in Chemistry
Reading Time: 4 mins read
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Credit: Image by Argonne National Laboratory.

Argonne develops novel method to more clearly see complex materials physics in difficult-to-access environments.

With the right tools, scientists can have Superman-like X-ray vision that reveals hidden features buried within objects — but it’s highly complicated.

The Advanced Photon Source (APS), an Office of Science User Facility at the U.S. Department of Energy’s (DOE) Argonne National Laboratory, gives scientists access to highly penetrating X-rays that can illuminate — at the atomic level — materials contained deep within other structures.

The next phase for the APS, the APS Upgrade, transforms today’s APS into a world-leading, storage-ring based, high-energy X-ray light source that equips scientists with a vastly more powerful tool for investigating and improving the materials and chemical processes that impact nearly every aspect of our lives. In particular, the Upgrade enables the use of lensless imaging methods with high-energy X-rays to overcome optics limitations for obtaining the highest spatial resolution deep within opaque samples.

“It’s similar to trying to determine the shape and size of a stone thrown into a pond by looking at the ripples the stone creates, except in three dimensions. If your pixel size is small enough … you can [actually] … obtain a three-dimensional picture of the object causing the scattering.” — Siddharth Maddali, Argonne postdoctoral researcher

However, using high-energy X-rays for deep penetration comes with a potential hitch — deeply penetrating X-rays can run into limitations with current detector technology.

“Essentially, the signal on the detector gets more and more compressed as we go to higher and higher X-ray energies,” said Argonne postdoctoral researcher Siddharth Maddali. “The price we pay for more penetrating X-rays is a loss of fidelity in the recorded data.”

In a new study, researchers at Argonne have found a novel way to overcome these limitations.

These limitations, according to Argonne X-ray physicist Stefan Vogt, are like using a low-resolution computer monitor to view a high-resolution digital photograph. “You cannot see the fidelity of the original image,” he said. 

The overall effect makes the image appear to be pixelated, said Maddali, an author of the study.

Because the distance from target to detector is relatively fixed, improving the resolution of a pixelated X-ray scattering image — in essence, sharpening it — requires computational algorithms that create subdivided “virtual pixels” that can redistribute the pixelated image. Then researchers can use a process called phase retrieval to reconstitute real-space information about the sample based on the scattered X-ray wavefronts.

“It’s similar to trying to determine the shape and size of a stone thrown into a pond by looking at the ripples the stone creates, except in three dimensions,” Maddali said. “If your pixel size is small enough so that you can see the ups and downs in the wave, you can computationally process those images and obtain a three-dimensional picture of the object causing the scattering.”

By using signal processing in this manner, scientists are able to effectively computationally correct an image  that would have otherwise required an experimentally impossible system of lenses to resolve.

Scientists could use this technique to gain better information about material interfaces, and thereby better understand and ultimately control the behavior of new materials.

###

A paper based on the study, “Phase retrieval for Bragg coherent diffraction imaging at high X-ray energies,” appeared in the May 2019 edition of Physical Review A. Other Argonne authors included Wonsuk Cha, Ross Harder, Jun-Sang Park, Peter Kenesei, Jonathan Almer, Youssef Nashed and Stephan Hruszkewycz. Marc Allain from Aix Marseille University also collaborated.

The research was funded by DOE‘s Office of Science.

About the Advanced Photon Source
This research used resources of the Advanced Photon Source, a U.S. DOE Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02–06CH11357.

Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation’s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America’s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.

The U.S. Department of Energy’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit https://energy.gov/science.

Media Contact
Beth Schlesinger
[email protected]

Original Source

https://www.anl.gov/article/a-sharper-focus-new-computational-technique-resolves-compressed-xray-data

Related Journal Article

http://dx.doi.org/10.1103/PhysRevA.99.053838

Tags: Chemistry/Physics/Materials SciencesMaterials
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