Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.3K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
12.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Membrane protein structure and dynamics probed by MicroED.

Biochemical Society transactions·2026
Same author

Rapid Structural Analysis of Natural Products Using MicroED.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Discovery of Oxyacanthine Dihydrochloride Monohydrate Polymorphs from Obfuscated Samples by Microcrystal Electron Diffraction.

ChemMedChem·2025
Same author

pH-dependent regulation in SLC38A9.

bioRxiv : the preprint server for biology·2025
Same author

Chemical and ribosomal synthesis of atropisomeric and macrocyclic peptides with embedded quinolines.

Nature chemistry·2025
Same author

The 2024 challenges in structural biology summit.

Structural dynamics (Melville, N.Y.)·2025
Same journal

Report of high data rate macromolecular crystallography (HDRMX) meeting, 23 July 2025.

Structural dynamics (Melville, N.Y.)·2026
Same journal

Directional sensitivity of the <math><mrow><mrow><msub><mrow><mi>A</mi></mrow> <mrow><mn>1</mn> <mi>g</mi></mrow></msub></mrow></mrow></math> phonon in biaxially strained bismuth heterofilms studied by transient white light reflectivity.

Structural dynamics (Melville, N.Y.)·2026
Same journal

Erratum: "First experiments with ultrashort, circularly polarized soft x-ray pulses at FLASH2" [Struct. Dyn. <b>12</b>, 034301 (2025)].

Structural dynamics (Melville, N.Y.)·2026
Same journal

<sup>13</sup>C NMR as a foundation for machine learning models of polysaccharides.

Structural dynamics (Melville, N.Y.)·2026
Same journal

Bromodomain dimers: A case study of BRD4 and family-wide AlphaFold predictions.

Structural dynamics (Melville, N.Y.)·2026
Same journal

Integrating metabolomics and histopathology: A method for metabolite recovery from fixed tissue specimens.

Structural dynamics (Melville, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: Apr 30, 2026

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.2K

Recovering high-resolution information using energy filtering in MicroED.

Max T B Clabbers, Tamir Gonen

    Structural Dynamics (Melville, N.Y.)
    |May 15, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Energy filtering significantly improves electron crystallography by reducing noise and sharpening peaks. This technique enhances data quality and extends high-resolution information for macromolecular structures.

    More Related Videos

    Obtaining 3D Chemical Maps by Energy Filtered Transmission Electron Microscopy Tomography
    08:15

    Obtaining 3D Chemical Maps by Energy Filtered Transmission Electron Microscopy Tomography

    Published on: June 9, 2018

    6.4K
    Microcrystal Electron Diffraction of Small Molecules
    09:48

    Microcrystal Electron Diffraction of Small Molecules

    Published on: March 15, 2021

    6.5K

    Related Experiment Videos

    Last Updated: Apr 30, 2026

    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
    10:16

    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

    Published on: February 8, 2014

    12.2K
    Obtaining 3D Chemical Maps by Energy Filtered Transmission Electron Microscopy Tomography
    08:15

    Obtaining 3D Chemical Maps by Energy Filtered Transmission Electron Microscopy Tomography

    Published on: June 9, 2018

    6.4K
    Microcrystal Electron Diffraction of Small Molecules
    09:48

    Microcrystal Electron Diffraction of Small Molecules

    Published on: March 15, 2021

    6.5K

    Area of Science:

    • Crystallography
    • Structural Biology
    • Materials Science

    Background:

    • Inelastic scattering in electron crystallography increases background noise and broadens Bragg peaks.
    • Weak diffraction signals in structural biology are further degraded by radiation damage and noise.
    • Loss of high-resolution data is a major limitation in macromolecular crystallography.

    Purpose of the Study:

    • To systematically compare unfiltered and energy-filtered microcrystal electron diffraction data.
    • To evaluate the impact of energy filtering on data quality, resolution, and noise reduction.
    • To demonstrate the potential of energy filtering for improving macromolecular structure determination.

    Main Methods:

    • Collected unfiltered microcrystal electron diffraction data from proteinase K crystals.
    • Collected a second dataset using identical settings but with an energy filter inserted.
    • Systematically analyzed and compared the two datasets to assess the effects of energy filtering.

    Main Results:

    • Energy filtering consistently reduced background noise and sharpened Bragg peaks.
    • High-resolution information was extended and recovered by using the energy filter.
    • Energy-filtered datasets exhibited improved intensity statistics and internal consistency.
    • Noise reduction and peak sharpening were observed despite a doubled absorbed dose.

    Conclusions:

    • Energy filtering is an effective method for mitigating inelastic scattering in electron crystallography.
    • This technique significantly improves data quality, resolution, and reliability in macromolecular crystallography.
    • Energy filtering offers a pathway to overcome limitations and achieve higher-resolution structures.