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Related Concept Videos

NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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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Updated: May 13, 2026

MRM Microcoil Performance Calibration and Usage Demonstrated on Medicago truncatula Roots at 22 T
10:22

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Published on: January 16, 2021

Dynamic Scan Shaping: Overcoming Coil Hysteresis for High-Speed STEM.

Jonathan J P Peters1,2, Grigore Moldovan3, Lewys Jones1,2

  • 1Advanced Microscopy Laboratory, CRANN, Trinity College Dublin, the University of Dublin.

Microscopy (Oxford, England)
|May 12, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a predictive scan shaping method to overcome slow imaging speeds in scanning transmission electron microscopy (STEM). This advance enables faster, clearer dynamic event capture in materials science research.

Keywords:
STEMbeam controlhigh speed imagingin-situscan shapingscanning

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Area of Science:

  • Materials Science
  • Physics
  • Microscopy

Background:

  • Scanning transmission electron microscopy (STEM) offers advanced imaging and spectroscopy capabilities.
  • Conventional STEM suffers from slow imaging speeds (a few frames per second) due to sequential pixel acquisition.
  • Slow speeds limit dose-rate control, increase distortions, and hinder in-situ dynamic event capture.

Purpose of the Study:

  • To address the limitations of slow imaging speeds in STEM.
  • To develop a method for faster STEM imaging without new hardware.
  • To improve the ability to capture dynamic events during in-situ experiments.

Main Methods:

  • Implemented a predictive scan shaping approach for conventional scanning systems.
  • Scan input was determined based on predicted beam position rather than current position.
  • Acquired fully sampled 512x512 images with a pixel dwell time of 60 nanoseconds.

Main Results:

  • Achieved significantly faster imaging framerates.
  • Demonstrated a framerate of 41 frames per second for 512x512 images.
  • Overcame limitations imposed by scanning coil inductance and hysteresis.

Conclusions:

  • Predictive scan shaping is an effective method to increase STEM imaging speed.
  • This technique enhances the potential for capturing dynamic processes in materials.
  • The approach offers a hardware-independent solution to a long-standing STEM challenge.