IBM brings MRI technology to the nanoscale

April 23, 2007 IBM brings MRI technology to the nanoscale

The cantilever force sensor at the heart of IBM’s “nano-MRI” microscope measures just twelve hundredths of a millimeter in length and a tiny one ten-thousandth of a millimeter thick. IBM scientists have used this nano-MRI to visualize structures at resolution 60,000 times better than current magnetic resonance imaging technology allows. This technique brings MRI capability to the nanoscale level for the first time and represents a major milestone in the quest to build a microscope that could "see" individual atoms in three dimensions. With further development, applications could include understanding how individual proteins interact with drugs for discovery and development, and analyzing computer circuits only a few atoms wide. Credit: IBM

IBM today announced that researchers at its Almaden Research Center have demonstrated magnetic resonance imaging (MRI) techniques to visualize nanoscale objects. This technique brings MRI capability to the nanoscale level for the first time and represents a major milestone in the quest to build a microscope that could "see" individual atoms in three dimensions.

Using Magnetic Resonance Force Microscopy (MRFM), IBM researchers have demonstrated two-dimensional imaging of objects as small as 90 nanometers, a key advancement on the path of 3D imaging at the atomic scale. Such imaging could ultimately provide a better understanding of how proteins function, which in turn may lead to more efficient drug discovery and development.

“Our ultimate goal is to perform three-dimensional imaging of complex structures such as molecules with atomic resolution,” said Dan Rugar, manager, Nanoscale Studies, IBM Research. “This would allow scientists to study the atomic structures of molecules — such as proteins — which would represent a huge breakthrough in structural molecular biology."

MRFM offers imaging sensitivity that is 60,000 times better than current magnetic resonance imaging (MRI) technology. MRFM uses what is known as force detection to overcome the sensitivity limitations of conventional MRI to view structures that would otherwise be too small to be detected.

To achieve this, the research team developed specialized magnetic tips for their microscope, optimizing their ability to manipulate and detect the very weak magnetism of atomic nuclei. Conventional medical MRI typically operates on a scale at least 1,000 times coarser; even the most specialized MRI microscopy is limited to about 3 micrometers, or 3,000 nanometers.

This achievement could eventually have major impact on the study of materials — ranging from proteins and pharmaceuticals to integrated circuits — for which a detailed understanding of the atomic structure is essential. Knowing the exact location of specific atoms within tiny nanoelectronic structures, for example, would enhance designers' insight into manufacture and performance. The ability to directly image the detailed atomic structure of proteins would aid the development of new drugs.

For more than a decade, IBM researchers have been making pioneering advancements in MRFM. With this latest achievement, the team is now able to make images with as few as 103 atoms as opposed to the 108 atoms required to make an image with today’s MRI technology. This improved sensitivity extends MRI into the nanometer realm.

IBM Research has a distinguished history in developing microscopes for nanoscale imaging and science. Gerd Binnig and Heinrich Rohrer of IBM's Zurich Research Laboratory received the 1986 Nobel Prize in Physics for their invention of the scanning tunneling microscope, which can image individual atoms on electrically conducting surfaces.

The report on this work, “Nuclear magnetic resonance imaging with 90-nm resolution,” by H. J. Mamin1, M. Poggio, C. L. Degen and D. Rugar at IBM Research Division, Almaden Research Center, San Jose, California and the Center for Probing the Nanoscale, Stanford University appears in the April 22 issue of Nature Nanotechnology.

Source: IBM Research


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