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

Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
Fast Fourier Transform01:10

Fast Fourier Transform

The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

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 distances...

You might also read

Related Articles

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

Sort by
Same author

Low-Cost and Affordable Thermistor-Based Wideband Sub-THz Detector with Dielectric Waveguide Coupling.

Sensors (Basel, Switzerland)·2024
Same author

Automatic Speaker Recognition System Based on Gaussian Mixture Models, Cepstral Analysis, and Genetic Selection of Distinctive Features.

Sensors (Basel, Switzerland)·2022
Same author

Fast THz-TDS Reflection Imaging with ECOPS-Point-by-Point versus Line-by-Line Scanning.

Sensors (Basel, Switzerland)·2022
Same author

Detection of Inflatable Boats and People in Thermal Infrared with Deep Learning Methods.

Sensors (Basel, Switzerland)·2021
Same author

Sintering, Microstructure, and Dielectric Properties of Copper Borates for High Frequency LTCC Applications.

Materials (Basel, Switzerland)·2021
Same author

Structural, Thermal and Dielectric Properties of Low Dielectric Permittivity Cordierite-Mullite-Glass Substrates at Terahertz Frequencies.

Materials (Basel, Switzerland)·2021

Related Experiment Video

Updated: Jun 29, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.5K

A Hardware Encoder-Based Synchronization Method for a Fast Terahertz TDS Imaging System Based on the ECOPS Scheme.

Marcin Maciejewski1, Kamil Kamiński1, Norbert Pałka1

  • 1Institute of Optoelectronics, Military University of Technology, 2 Kaliski Street, 00-908 Warsaw, Poland.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
Summary

A new hardware synchronization method significantly speeds up terahertz time-domain spectroscopy (THz-TDS) raster scanning by 35x. This advancement allows for rapid, high-resolution imaging without sacrificing data quality.

Keywords:
nondestructive testingsynchronizationterahertz imagingtime-domain spectroscopy

More Related Videos

Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering
09:13

Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering

Published on: July 6, 2019

7.6K
Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis
10:57

Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis

Published on: February 1, 2022

3.1K

Related Experiment Videos

Last Updated: Jun 29, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.5K
Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering
09:13

Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering

Published on: July 6, 2019

7.6K
Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis
10:57

Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis

Published on: February 1, 2022

3.1K

Area of Science:

  • Spectroscopy
  • Terahertz Imaging
  • Instrumentation

Background:

  • Terahertz time-domain spectroscopy (THz-TDS) is a powerful non-destructive imaging technique.
  • Traditional raster scanning in THz-TDS is time-consuming, limiting its practical applications.
  • Enhancing scanning speed without compromising image resolution is crucial for advancing THz-TDS.

Purpose of the Study:

  • To develop and implement a hardware encoder-based synchronization method for a faster THz-TDS raster scanner.
  • To integrate synchronization signals from various scanner components into a microcontroller.
  • To significantly reduce scanning time while maintaining high image quality.

Main Methods:

  • Utilized a hardware encoder-based synchronization approach.
  • Integrated synchronization signals from multiple devices within the scanner.
  • Implemented the method using a microcontroller with a dedicated counter.
  • Leveraged the commercially available TeraFlash Smart platform.

Main Results:

  • Achieved a fast scanning mode that is 35 times faster than traditional step-by-step methods.
  • Validated the method using the USAF 1951 resolution test target.
  • Successfully imaged defects in a fiberglass plate.
  • Demonstrated high-quality image acquisition with resolutions comparable to slower methods.

Conclusions:

  • The developed hardware synchronization method enables significantly faster THz-TDS raster scanning.
  • This approach maintains high image resolution and data quality.
  • The method offers a practical solution for accelerating THz-TDS imaging applications.