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Related Concept Videos

NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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Mass Analyzers: Overview01:13

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The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
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Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

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Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

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Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
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Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
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Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles
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Tool to Resolve Distortions in Elemental and Isotopic Imaging.

Chixiang Lu1, Gu Chen1, Wenxin Song2

  • 1Department of Chemistry, The University of Hong Kong, Pok Fu Lam, Hong Kong 999077, P. R. China.

Journal of the American Chemical Society
|July 10, 2024
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Summary

Nanoscale secondary ion mass spectrometry (NanoSIMS) image distortions are corrected by NanoSIMS Stabilizer, an open-source tool. This algorithm enhances high-resolution visualization of elemental and isotopic distributions in samples.

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Microscopy

Background:

  • Nanoscale secondary ion mass spectrometry (NanoSIMS) enables high-resolution elemental and isotopic imaging.
  • Image fidelity in NanoSIMS is often compromised by distortions from multi-frame acquisition and integration.

Purpose of the Study:

  • To develop and present an advanced computational tool for correcting NanoSIMS image distortions.
  • To improve the quality and reliability of NanoSIMS data visualization.

Main Methods:

  • Development of an optical flow-based algorithm named NanoSIMS Stabilizer.
  • Implementation as an open-source ImageJ plugin and a GPU-accelerated Python version.
  • Post-acquisition image registration across all channels to correct distortions.

Main Results:

  • Effective correction of distortions and artifacts in NanoSIMS images.
  • Enhanced high-resolution visualization of isotope and element distribution.
  • Demonstrated usability through an ImageJ plugin and Python software.

Conclusions:

  • NanoSIMS Stabilizer significantly improves NanoSIMS image quality.
  • The tool provides a robust solution for accurate elemental and isotopic mapping.
  • Open-source availability promotes wider adoption and advancement in NanoSIMS analysis.