4.8 Article

Atomic-number (Z)-correlated atomic sizes for deciphering electron microscopic molecular images

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.2114432119

关键词

atomic radius; molecular model; structural analysis; single-molecule imaging; transmission electron microscopy

资金

  1. Japan Society for the Promotion of Science (JSPS) KAKENHI [JP19H05459, JP20K15123, JP21H01758]
  2. Japan Science and Technology Agency [CREST JPMJCR20B2]
  3. MEXT [12024046]
  4. JSPS

向作者/读者索取更多资源

With the development of atomic resolution transmission electron microscopy (AR-TEM), chemists can visually study the temporal evolution of molecular motions and reactions at the atomic level. However, experimental TEM images often differ from conventional molecular models, making them difficult to interpret. By introducing correlated atomic radii models, researchers can more easily estimate molecular structures from TEM images.
With the advent of atomic resolution transmission electron microscopy (AR-TEM) achieving sub-angstrom ngstrom image resolution and submillisecond time resolution, an era of cinematic molecular science where chemists can visually study the time evolution of molecular motions and reactions at atomistic precision has arrived. However, the appearance of experimental TEM images often differs greatly from that of conventional molecular models, and the images are difficult to decipher unless we know in advance the structure of the specimen molecules. The difference arises from the fundamental design of the molecular models that represent atomic connectivity and/or the electronic properties of molecules rather than the nuclear charge of atoms and electrostatic potentials that are felt by the e-beam in TEM imaging. We found a good correlation between the atomic number (Z) and the atomic size seen in TEM images when we consider shot noise in digital images. We propose correlated (ZC) atomic radii for modeling AR-TEM images of single molecules and ultrathin crystals with which we can develop a good estimate of the molecular structure from the TEM image much more easily than with conventional molecular models. Two parameter sets were developed for TEM images recorded under high-noise (ZC(HN)) and low-noise (ZC(LN)) conditions. The molecular models will stimulate the imaginations of chemists planning to use AR-TEM for their research.

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