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

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

513
A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
513
Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

276
Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used....
276
Instrument Calibration01:12

Instrument Calibration

248
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
248
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

84
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
84
Atomic Absorption Spectroscopy: Instrumentation01:22

Atomic Absorption Spectroscopy: Instrumentation

854
An atomic absorption spectrophotometer (AAS) comprises several components: a radiation source, an atomizer, a monochromator, and a detector. The radiation source can be a hollow-cathode lamp (HCL) or an electrodeless-discharge lamp (EDL), both of which provide a narrow emission line of the required wavelength. However, some instruments use continuum sources and high-resolution monochromators to achieve a narrow range of radiation.
The atomizer used in AAS can be either a flame atomizer or an...
854

You might also read

Related Articles

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

Sort by
Same author

A robotic and high-throughput X-ray micro-computed tomography workflow.

Journal of synchrotron radiation·2026
Same author

The assessment and treatment of kratom dependence: findings from a physician survey in Malaysia.

The American journal of drug and alcohol abuse·2026
Same author

Multi-Feature Adaptive Variational Mode Decomposition for Wearable ECG Devices.

Biosensors·2026
Same author

Knockout of Mucin 1 inhibits the proliferation, migration, and invasion of human MDA-MB-231 cells by blocking autophagy flow.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas·2026
Same author

Epigenetic therapy combined with radiotherapy reshapes tumor immune response.

Experimental and molecular pathology·2026
Same author

Universal progression of structure and dynamics in colloidal nanocrystal gels during salt-accelerated aging.

Science advances·2026
Same journal

Zero-shot reconstruction of mutant spatial transcriptomes.

Patterns (New York, N.Y.)·2026
Same journal

Dendritic nonlinearities mitigate communication costs.

Patterns (New York, N.Y.)·2026
Same journal

Erratum: Agentic AI as a coordination paradigm in digital health and agri-food systems.

Patterns (New York, N.Y.)·2026
Same journal

Spacing effect improves generalization in biological and artificial systems.

Patterns (New York, N.Y.)·2026
Same journal

A multi-modal foundation model for brain disease diagnosis and medical imaging.

Patterns (New York, N.Y.)·2026
Same journal

DuoMod-Net: Logarithmic balancing and geometric refinement for imbalanced semi-supervised medical image segmentation.

Patterns (New York, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: Aug 24, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.6K

Linking scientific instruments and computation: Patterns, technologies, and experiences.

Rafael Vescovi1, Ryan Chard1, Nickolaus D Saint2

  • 1Data Science and Learning Division, Argonne National Laboratory, 9700 S. Cass Ave., Lemont, IL 60439, USA.

Patterns (New York, N.Y.)
|October 24, 2022
PubMed
Summary
This summary is machine-generated.

Modern scientific facilities generate massive data streams. New methods configure distributed computing pipelines for efficient online analysis, enabling selective data collection and instrument control for scientific discovery.

Keywords:
Experiment automationGlobusbig datacomputing fabricdata fabricmachine learningscientific facilitysynchrotron light sourcetrust fabricworkflow

More Related Videos

Author Spotlight: A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management
10:23

Author Spotlight: A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

Published on: June 23, 2023

2.9K
A Modular Microfluidic Technology for Systematic Studies of Colloidal Semiconductor Nanocrystals
09:58

A Modular Microfluidic Technology for Systematic Studies of Colloidal Semiconductor Nanocrystals

Published on: May 10, 2018

9.6K

Related Experiment Videos

Last Updated: Aug 24, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.6K
Author Spotlight: A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management
10:23

Author Spotlight: A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

Published on: June 23, 2023

2.9K
A Modular Microfluidic Technology for Systematic Studies of Colloidal Semiconductor Nanocrystals
09:58

A Modular Microfluidic Technology for Systematic Studies of Colloidal Semiconductor Nanocrystals

Published on: May 10, 2018

9.6K

Area of Science:

  • Experimental physics
  • High-energy physics
  • Computational science

Background:

  • Modern experimental facilities generate data at multi-gigabyte per second rates.
  • Efficient online analysis is crucial for managing massive data streams.
  • Selective data collection and instrument steering are needed to focus on interesting events.

Purpose of the Study:

  • To review common patterns in distributed computing pipelines for scientific data processing.
  • To describe methods for configuring and running these data processing pipelines, termed 'flows'.
  • To present practical experiences applying these methods across diverse scientific instruments.

Main Methods:

  • Review of common distributed computing pipeline patterns.
  • Development and application of methods for instantiating these patterns.
  • Implementation across five distinct scientific instruments for data processing, model training, and data inversion.

Main Results:

  • Successful application of described methods to real-world scientific data processing.
  • Demonstrated ability to link instruments, computing resources, edge computing, data stores, and networks.
  • Validation of methods for configuring and running complex distributed computing flows.

Conclusions:

  • Established methods facilitate the configuration and operation of distributed computing pipelines for massive scientific data.
  • These approaches are applicable across various scientific instruments and computational tasks.
  • Implications discussed for operators and users of scientific facilities to optimize data handling and analysis.