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

6.9K
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...
6.9K

You might also read

Related Articles

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

Sort by
Same author

High Pressure Synthesis of Ultrasmall Nanodiamonds with Nitrogen Vacancy Centers.

Nano letters·2026
Same author

Staging and defect-limited intercalation of FeCl<sub>3</sub> in graphite electrodes.

Nature communications·2026
Same author

Engineering <i>Escherichia coli</i> for Urease-Driven Synthesis of Metal Oxide Nanomaterials.

ACS synthetic biology·2026
Same authorSame journal

Unsupervised Segmentation and Clustering Workflow for Efficient Processing of 4D-STEM and 5D-STEM Data.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
Same author

Nanocrystal Geometry Governs Phase Transformation Pathways in Palladium Hydride.

ACS nano·2026
Same author

Polyolefin blends with co-continuous architectures enabled by dynamic covalent crosslinking.

Science advances·2026
Same journal

Lingual Surface Morphology in Delphinids: Structural Adaptations to Feeding Strategies.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
Same journal

A Scalable Pathway for Plan-View TEM of 2D Materials and Surface Layers.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
Same journal

Development of an EDS-Based Grain Segmentation Method for MIMAS-MOX Nuclear Fuels.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
Same journal

The Fabrication of Atom Probe Tomography Specimens From Mineral Nanoplates by Focused Ion Beam Redeposition.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
Same journal

From Bone to Body: Qualitative Evaluation of Collagenous Tissues Using JFRL Staining in Normal and Pathological Conditions.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
See all related articles

Related Experiment Video

Updated: Jun 7, 2025

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
07:52

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

982

Streaming Large-Scale Microscopy Data to a Supercomputing Facility.

Samuel S Welborn1, Chris Harris1, Stephanie M Ribet2

  • 1National Energy Research Scientific Computing Center (NERSC), Lawrence Berkeley National Laboratory, Berkeley, CA 94720, US.

Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
|November 14, 2024
PubMed
Summary
This summary is machine-generated.

A new streaming workflow bypasses file storage for high-volume scientific data, significantly improving processing times and enabling real-time analysis for microscopy experiments.

Keywords:
4D-STEMhigh-performance computingreal-time processingstreamingzmq

More Related Videos

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
13:01

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

Published on: April 10, 2016

33.9K
Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

10.3K

Related Experiment Videos

Last Updated: Jun 7, 2025

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
07:52

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

982
Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
13:01

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

Published on: April 10, 2016

33.9K
Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

10.3K

Area of Science:

  • Materials Science
  • Data Science
  • Scientific Computing

Background:

  • Increasing data generation rates in experimental workflows necessitate advanced data management solutions.
  • Conventional file-based data transfer methods are becoming impractical for high-throughput scientific instruments.
  • The 4D Camera at the National Center for Electron Microscopy produces massive datasets (700 GB in 15 s) requiring efficient handling.

Purpose of the Study:

  • To develop and evaluate a novel streaming workflow for managing large-scale scientific data.
  • To address the limitations of traditional file-transfer methods in high-volume data acquisition environments.
  • To improve data turnaround time and enable real-time decision-making in experimental research.

Main Methods:

  • Developed a streaming pipeline connecting a 4D Camera's data acquisition system to supercomputing nodes via a high-speed network.
  • Bypassed intermediate file storage, transferring data directly for processing.
  • Conducted an hour-long experiment generating over 10 TB of raw data to demonstrate the workflow's effectiveness.
  • Performed a postmortem analysis comparing the streaming workflow against conventional file-transfer methods using historical user data.

Main Results:

  • The streaming workflow successfully handled over 10 TB of raw data in a production setting, yielding high-quality datasets.
  • Demonstrated significant improvements in data turnaround time compared to conventional file-transfer workflows.
  • Enabled real-time decision-making capabilities during experiments.
  • Minimized human error by eliminating manual user interactions in the data transfer process.

Conclusions:

  • The developed streaming workflow is effective for managing large-scale scientific data from high-volume instruments.
  • This approach offers substantial advantages over traditional file-transfer methods, including speed and reliability.
  • The workflow facilitates advanced data analyses and supports real-time experimental adjustments.