Nanotechnology Now

Our NanoNews Digest Sponsors
Heifer International



Home > Press > Machine learning peeks into nano-aquariums

Illinois researchers have linked electron microscope imaging and machine learning, making it much easier to study nanoparticles in action. The schematic shows how a neural network, middle, works as a bridge between liquid-phase electron microscope imaging, left, and streamlined data output, right. For more information visit, pubs.acs.org/doi/10.1021/acscentsci.0c00430.

Graphic courtesy ACS and the Qian Chen group
Illinois researchers have linked electron microscope imaging and machine learning, making it much easier to study nanoparticles in action. The schematic shows how a neural network, middle, works as a bridge between liquid-phase electron microscope imaging, left, and streamlined data output, right. For more information visit, pubs.acs.org/doi/10.1021/acscentsci.0c00430. Graphic courtesy ACS and the Qian Chen group

Abstract:
In the nanoworld, tiny particles such as proteins appear to dance as they transform and assemble to perform various tasks while suspended in a liquid. Recently developed methods have made it possible to watch and record these otherwise-elusive tiny motions, and researchers now take a step forward by developing a machine learning workflow to streamline the process.

Machine learning peeks into nano-aquariums

Champaign, IL | Posted on August 31st, 2020

The new study, led by Qian Chen, a professor of materials science and engineering at the University of Illinois, Urbana-Champaign, builds upon her past work with liquid-phase electron microscopy and is published in the journal ACS Central Science.

Being able to see – and record – the motions of nanoparticles is essential for understanding a variety of engineering challenges. Liquid-phase electron microscopy, which allows researchers to watch nanoparticles interact inside tiny aquariumlike sample containers, is useful for research in medicine, energy and environmental sustainability and in fabrication of metamaterials, to name a few. However, it is difficult to interpret the dataset, the researchers said. The video files produced are large, filled with temporal and spatial information, and are noisy due to background signals – in other words, they require a lot of tedious image processing and analysis.

“Developing a method even to see these particles was a huge challenge,” Chen said. “Figuring out how to efficiently get the useful data pieces from a sea of outliers and noise has become the new challenge.”

To confront this problem, the team developed a machine learning workflow that is based upon an artificial neural network that mimics, in part, the learning potency of the human brain. The program builds off of an existing neural network, known as U-Net, that does not require handcrafted features or predetermined input and has yielded significant breakthroughs in identifying irregular cellular features using other types of microscopy, the study reports.

“Our new program processed information for three types of nanoscale dynamics including motion, chemical reaction and self-assembly of nanoparticles,” said lead author and graduate student Lehan Yao. “These represent the scenarios and challenges we have encountered in the analysis of liquid-phase electron microscopy videos.”

The researchers collected measurements from approximately 300,000 pairs of interacting nanoparticles, the study reports.

Click here to see liquid-phase electron microscopy with combined machine learning in action.

As found in past studies by Chen’s group, contrast continues to be a problem while imaging certain types of nanoparticles. In their experimental work, the team used particles made out of gold, which is easy to see with an electron microscope. However, particles with lower elemental or molecular weights like proteins, plastic polymers and other organic nanoparticles show very low contrast when viewed under an electron beam, Chen said.

“Biological applications, like the search for vaccines and drugs, underscore the urgency in our push to have our technique available for imaging biomolecules,“ she said. “There are critical nanoscale interactions between viruses and our immune systems, between the drugs and the immune system, and between the drug and the virus itself that must be understood. The fact that our new processing method allows us to extract information from samples as demonstrated here gets us ready for the next step of application and model systems.”

The team has made the source code for the machine learning program used in this study publicly available through the supplemental information section of the new paper. “We feel that making the code available to other researchers can benefit the whole nanomaterials research community,”Chen said.

Chen also is affiliated with chemistry, the Beckman Institute for Advanced Science and Technology and the Materials Research Laboratory at the U. of I.

The National Science Foundation and Air Force Office of Scientific Research supported this study.

####

For more information, please click here

Contacts:
Qian Chen
217-300-1137

Copyright © University of Illinois at Urbana-Champaign

If you have a comment, please Contact us.

Issuers of news releases, not 7th Wave, Inc. or Nanotechnology Now, are solely responsible for the accuracy of the content.

Bookmark:
Delicious Digg Newsvine Google Yahoo Reddit Magnoliacom Furl Facebook

Related Links

The paper “Machine learning to reveal nanoparticle dynamics from liquid-phase TEM videos” is available online and from the U. of I. News Bureau. DOI: 10.1021/acscentsci.0c00430:

Related News Press

News and information

Nanomaterials enable dual-mode heating and cooling device: Device could cut HVAC energy use by nearly 20% in the US December 2nd, 2020

Having it Both Ways: A Combined Strategy in Catalyst Design for Suzuki Cross-Couplings December 2nd, 2020

The National Space Society Remembers Ben Bova : NSS Mourns the Loss of a Visionary NSS Leader December 2nd, 2020

Arrowhead Pharmaceuticals to Participate in Upcoming Conferences December 2nd, 2020

Imaging

New technology allows more precise view of the smallest nanoparticles: Imaging technology offers advantages for diagnostics, other uses November 17th, 2020

Making 3-D Nanosuperconductors with DNA: Complex 3-D nanoscale architectures based on DNA self-assembly can conduct electricity without resistance and may provide a platform for fabricating quantum computing and sensing devices November 10th, 2020

Higher-resolution imaging of living, moving cells using plasmonic metasurfaces: Metasurface of self-assembled gold nanoparticles shown to improve resolution of fluorescence images of living cells under a widefield optical microscope to the theoretical limit November 6th, 2020

Scientists and students publish blueprints for a cheaper single-molecule microscope November 6th, 2020

Nanofabrication

Making 3-D Nanosuperconductors with DNA: Complex 3-D nanoscale architectures based on DNA self-assembly can conduct electricity without resistance and may provide a platform for fabricating quantum computing and sensing devices November 10th, 2020

Possible Futures

Nanomaterials enable dual-mode heating and cooling device: Device could cut HVAC energy use by nearly 20% in the US December 2nd, 2020

Having it Both Ways: A Combined Strategy in Catalyst Design for Suzuki Cross-Couplings December 2nd, 2020

New platform generates hybrid light-matter excitations in highly charged graphene December 2nd, 2020

CsPbBrI2 perovskites with low energy loss for high-performance indoor and outdoor photovoltaics December 1st, 2020

Nanomedicine

Arrowhead Pharmaceuticals to Participate in Upcoming Conferences December 2nd, 2020

An ionic forcefield for nanoparticles: Tunable coating allows hitch-hiking nanoparticles to slip past the immune system to their target November 27th, 2020

Quantum nanodiamonds may help detect disease earlier: The quantum sensing abilities of nanodiamonds can be used to improve the sensitivity of paper-based diagnostic tests, potentially allowing for earlier detection of diseases such as HIV, according to a study led by UCL research November 27th, 2020

Arrowhead Pharmaceuticals Announces Closing of Agreement with Takeda November 27th, 2020

Discoveries

No nanoparticle risks to humans found in field tests of spray sunscreens December 2nd, 2020

Nanomaterials enable dual-mode heating and cooling device: Device could cut HVAC energy use by nearly 20% in the US December 2nd, 2020

Having it Both Ways: A Combined Strategy in Catalyst Design for Suzuki Cross-Couplings December 2nd, 2020

New platform generates hybrid light-matter excitations in highly charged graphene December 2nd, 2020

Materials/Metamaterials

Quantum nanodiamonds may help detect disease earlier: The quantum sensing abilities of nanodiamonds can be used to improve the sensitivity of paper-based diagnostic tests, potentially allowing for earlier detection of diseases such as HIV, according to a study led by UCL research November 27th, 2020

One-way street for electrons: Scientists observe directed energy transport between neighbouring molecules in a nanomaterial November 27th, 2020

Staying ahead of the curve with 3D curved graphene November 20th, 2020

Manchester group discover new family of quasiparticles in graphene-based materials: Findings to help achieve Holy Grail of 2D materials - superfast electronic devices November 13th, 2020

Announcements

Nanomaterials enable dual-mode heating and cooling device: Device could cut HVAC energy use by nearly 20% in the US December 2nd, 2020

Having it Both Ways: A Combined Strategy in Catalyst Design for Suzuki Cross-Couplings December 2nd, 2020

The National Space Society Remembers Ben Bova : NSS Mourns the Loss of a Visionary NSS Leader December 2nd, 2020

Arrowhead Pharmaceuticals to Participate in Upcoming Conferences December 2nd, 2020

Interviews/Book Reviews/Essays/Reports/Podcasts/Journals/White papers/Posters

No nanoparticle risks to humans found in field tests of spray sunscreens December 2nd, 2020

Nanomaterials enable dual-mode heating and cooling device: Device could cut HVAC energy use by nearly 20% in the US December 2nd, 2020

Having it Both Ways: A Combined Strategy in Catalyst Design for Suzuki Cross-Couplings December 2nd, 2020

New platform generates hybrid light-matter excitations in highly charged graphene December 2nd, 2020

Tools

New technology allows more precise view of the smallest nanoparticles: Imaging technology offers advantages for diagnostics, other uses November 17th, 2020

Higher-resolution imaging of living, moving cells using plasmonic metasurfaces: Metasurface of self-assembled gold nanoparticles shown to improve resolution of fluorescence images of living cells under a widefield optical microscope to the theoretical limit November 6th, 2020

Timekeeping theory combines quantum clocks and Einstein's relativity: Research reveals new time dilation phenomenon October 23rd, 2020

Bruker Launches Advanced In-Situ Nanomechanical Test Instrument for Analyzing Materials Deformation in Electron Microscopes: Hysitron PI 89 SEM PicoIndenter Offers Unprecedented Range and Flexibility October 15th, 2020

NanoNews-Digest
The latest news from around the world, FREE




  Premium Products
NanoNews-Custom
Only the news you want to read!
 Learn More
NanoStrategies
Full-service, expert consulting
 Learn More











ASP
Nanotechnology Now Featured Books




NNN

The Hunger Project