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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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Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...
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The axial and equatorial protons in cyclohexane can be distinguished by performing a variable-temperature NMR experiment. In this process, except for one proton, the remaining eleven protons are replaced by deuterium. The deuterium substitution avoids the possible peak splitting caused by the spin-spin coupling between the adjacent protons. The remaining proton flips between the axial and equatorial positions.
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Related Experiment Video

Updated: Sep 15, 2025

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging
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NMR Spectral Alignment Utilizing a CryoEM Motion Correction Algorithm.

Colin A Hemme, Owen A Warmuth, Songlin Wang

    Biorxiv : the Preprint Server for Biology
    |July 14, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Automated NMR Spectral Alignment (ANSA) software aligns solid-state NMR spectra using image-based cross-correlation. This overcomes manual alignment limitations, enhancing data rigor and enabling automated processing for complex experiments.

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    Area of Science:

    • Biophysics
    • Analytical Chemistry
    • Structural Biology

    Background:

    • Magic-angle spinning (MAS) solid-state NMR (SSNMR) offers high resolution but faces spectral alignment challenges.
    • Existing methods lack automated solutions for referencing errors caused by field gradients, temperature variations, and pulse sequence effects.
    • Manual alignment is subjective, time-consuming, and impractical for low-sensitivity or high-dimensional datasets.

    Purpose of the Study:

    • To develop an automated, objective method for aligning SSNMR spectra.
    • To address the critical bottleneck of spectral referencing in SSNMR data processing.
    • To improve the accuracy and reproducibility of resonance assignment and structure determination.

    Main Methods:

    • Adapted principles from cryo-electron microscopy motion correction for NMR spectroscopy.
    • Developed the Automated NMR Spectral Alignment (ANSA) program.
    • Utilized cross-correlation functions to treat NMR spectra as images for optimal alignment.

    Main Results:

    • Achieved significant improvements in cross-correlation scores, from 0.33 to 1.00 in controlled tests.
    • Demonstrated high correlation (0.96) in real-world applications with previously misaligned spectra.
    • Successfully aligned spectra across diverse experimental conditions and corrected shifts in long-duration experiments.

    Conclusions:

    • ANSA provides objective, consistent spectral alignment, eliminating human bias.
    • The software enhances scientific rigor and improves experimental reproducibility.
    • ANSA enables automation of critical NMR data processing steps and is available as an open-source tool.