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

2D NMR: Homonuclear Correlation Spectroscopy (COSY)01:06

2D NMR: Homonuclear Correlation Spectroscopy (COSY)

2.2K
Homonuclear correlation spectroscopy, or COSY, is a 2-dimensional NMR technique that provides information about coupled protons. Typically, the geminal and vicinal coupling are observed. For example, consider the COSY spectrum of ethyl acetate, where its 1D proton NMR spectrum is plotted along the vertical and horizontal axes with their corresponding chemical shift scale. Three spots on the diagonal corresponding to the three peaks in the 1D proton spectrum are called diagonal peaks. The COSY...
2.2K
Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

1.8K
The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
1.8K
Computed Tomography01:10

Computed Tomography

9.6K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
9.6K
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

1.6K
Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
1.6K
2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

805
Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
805
Aliasing01:18

Aliasing

812
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
812

You might also read

Related Articles

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

Sort by
Same author

Evaluation Methods for Mechanical Biocompatibility of Innovative Prolapse Repair Meshes.

International journal for numerical methods in biomedical engineering·2025
Same author

Contentopic mapping in ventral and dorsal association cortex: The topographical organization of manipulable object information.

NeuroImage·2025
Same author

Temporal differences and commonalities between hand and tool neural processing.

Scientific reports·2023
Same author

Multimodal imaging of a macular retinal capillary hemangioma.

Archivos de la Sociedad Espanola de Oftalmologia·2023
Same author

Lower low density lipoprotein cholesterol associates to higher mortality in non-diabetic heart failure patients.

International journal of cardiology. Cardiovascular risk and prevention·2023
Same author

Nannochloropsis oceanica microalga feeding increases long-chain omega-3 polyunsaturated fatty acids in lamb meat.

Meat science·2022

Related Experiment Video

Updated: Apr 5, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

18.4K

Computation of Two-Dimensional Spectra Assisted by Compressed Sampling.

J Almeida1,2, J Prior3, M B Plenio1,2

  • 1†Institute for Theoretical Physics, University Ulm, Albert-Einstein-Allee 11, D-89069 Ulm, Germany.

The Journal of Physical Chemistry Letters
|August 22, 2015
PubMed
Summary

Compressed sampling significantly reduces computation time for scientific data, even when complex. This method avoids sampling full datasets, proving useful for challenging ultrafast nonlinear spectroscopy calculations in biology.

Keywords:
FMOcompressed samplingnonlinear spectroscopynumerical methodsprotein-pigment complexthird order electric response function

More Related Videos

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

762
Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
10:03

Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy

Published on: June 27, 2014

18.5K

Related Experiment Videos

Last Updated: Apr 5, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

18.4K
A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

762
Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
10:03

Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy

Published on: June 27, 2014

18.5K

Area of Science:

  • Biophysics
  • Computational Science
  • Spectroscopy

Background:

  • Scientific data computation is often time-consuming, even with few parameters.
  • Ultrafast nonlinear spectroscopy of biological systems involves computationally intensive calculations.
  • Traditional data sampling methods can be a bottleneck in scientific research.

Purpose of the Study:

  • To demonstrate the effectiveness of compressed sampling for reducing computation time in scientific data analysis.
  • To apply compressed sampling to two-dimensional (2-D) spectra in ultrafast nonlinear spectroscopy.
  • To address the computational challenges in analyzing biological systems using spectroscopy.

Main Methods:

  • Utilizing the principle of compressed sampling.
  • Applying the method to two-dimensional (2-D) spectral data.
  • Focusing on applications within ultrafast nonlinear spectroscopy.

Main Results:

  • Compressed sampling achieves a considerable decrease in computation time.
  • The approach avoids the need to sample the full data set.
  • Demonstrated usefulness for complex 2-D spectra in biological systems.

Conclusions:

  • Compressed sampling is a valuable technique for accelerating scientific data computation.
  • This method offers a practical solution for computationally demanding spectroscopic analyses.
  • The approach has significant implications for research in ultrafast nonlinear spectroscopy of biological systems.