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

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

225
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....
225

You might also read

Related Articles

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

Sort by
Same author

Efficient Real-Time Isotope Identification on SoC FPGA.

Sensors (Basel, Switzerland)·2025
Same author

Low-Cost, Low-Power Edge Computing System for Structural Health Monitoring in an IoT Framework.

Sensors (Basel, Switzerland)·2024
Same author

AIoT in Agriculture: Safeguarding Crops from Pest and Disease Threats.

Sensors (Basel, Switzerland)·2023
Same author

Principal Component Analysis Applied to Digital Pulse Shape Analysis for Isotope Discrimination.

Sensors (Basel, Switzerland)·2023
Same author

Optimizing Time Resolution Electronics for DMAPs.

Sensors (Basel, Switzerland)·2023
Same author

Controlled Electromagnetic Field Based Safety System for Handheld Circular Saw.

Sensors (Basel, Switzerland)·2022
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jul 5, 2025

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

Advanced System-on-Chip Field-Programmable-Gate-Array-Powered Data Acquisition System for Pixel Detectors.

Jorge Jiménez-Sánchez1, Pedro Blanco-Carmona1, José María Hinojo-Montero1

  • 1Department of Electronic Engineering, University of Sevilla, 41092 Sevilla, Spain.

Sensors (Basel, Switzerland)
|January 11, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a compact, edge-computing data acquisition system (DAQ) for particle tracking experiments. It efficiently manages multiple pixel detectors and offers remote control capabilities, reducing hardware complexity.

Keywords:
FPGAdata acquisition systemsedge computingembedded microprocessorhybrid pixelparticle trackingpixel detectorsread-out chipsystem-on-chiptelescope

More Related Videos

A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging
05:32

A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging

Published on: June 21, 2017

10.5K
Performing Behavioral Tasks in Subjects with Intracranial Electrodes
12:10

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Published on: October 2, 2014

11.4K

Related Experiment Videos

Last Updated: Jul 5, 2025

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
A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging
05:32

A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging

Published on: June 21, 2017

10.5K
Performing Behavioral Tasks in Subjects with Intracranial Electrodes
12:10

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Published on: October 2, 2014

11.4K

Area of Science:

  • High-energy physics instrumentation
  • Particle detector systems
  • Data acquisition technologies

Background:

  • Particle detector systems rely on robust data acquisition systems (DAQs) for operation.
  • Existing DAQs can be bulky, increasing hardware load in experiments.
  • Characterization of particle telescopes requires efficient data handling.

Purpose of the Study:

  • To present a novel edge-computing DAQ for particle tracking experiments.
  • To design a compact DAQ system capable of simultaneous multi-pixel detector handling.
  • To adapt control logic for broader pixel detector compatibility.

Main Methods:

  • Developed an edge-computing DAQ based on a system-on-chip FPGA (SoC FPGA).
  • Integrated an embedded microprocessor running a Linux system for control.
  • Implemented a client-server architecture for remote operation and data visualization.

Main Results:

  • The DAQ system is compact, reducing hardware requirements in particle tracking setups.
  • It effectively handles multiple pixel detectors simultaneously.
  • The control logic is adaptable to various pixel detectors, including the ROC4SENS chip.

Conclusions:

  • The developed edge-computing DAQ offers a significant reduction in hardware load for particle tracking experiments.
  • Its compact design and multi-detector capability enhance experimental efficiency.
  • The system's adaptability and remote control features provide flexibility for diverse applications.