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

Sampling Methods: Overview01:06

Sampling Methods: Overview

2.2K
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
2.2K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.5K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.5K
Upsampling01:22

Upsampling

573
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
573
Sampling Plans01:23

Sampling Plans

880
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
880
Sampling Theorem01:15

Sampling Theorem

1.3K
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
1.3K
Bandpass Sampling01:17

Bandpass Sampling

468
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
468

You might also read

Related Articles

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

Sort by
Same author

Anisotropy in fifth-order exciton-exciton-interaction two-dimensional spectroscopy.

The Journal of chemical physics·2021
Same author

Signatures of exciton dynamics and interaction in coherently and fluorescence-detected four- and six-wave-mixing two-dimensional electronic spectroscopy.

The Journal of chemical physics·2020
Same author

Space- and time-resolved UV-to-NIR surface spectroscopy and 2D nanoscopy at 1 MHz repetition rate.

The Review of scientific instruments·2019
Same author

Mapping of exciton-exciton annihilation in a molecular dimer via fifth-order femtosecond two-dimensional spectroscopy.

The Journal of chemical physics·2019
Same author

Coherent two-dimensional electronic mass spectrometry.

Nature communications·2018
Same author

Rapid-scan coherent 2D fluorescence spectroscopy.

Optics express·2017
Same journal

Revisiting crossed-correlated baths in open quantum systems simulated by HEOM or T-TEDOPA.

The Journal of chemical physics·2026
Same journal

Vesicle size and membrane composition control monomer transfer pathways in multicomponent lipid vesicles.

The Journal of chemical physics·2026
Same journal

Polaron-mediated exciton dynamics of P(NDI2OD-T2) unveiled by transient absorption spectroscopy under electrochemical conditions.

The Journal of chemical physics·2026
Same journal

Green-Kubo relation in a mesoscale odd fluid model.

The Journal of chemical physics·2026
Same journal

Nitrogenation of microscopic MoS2 surfaces by oxidation scanning probe lithography.

The Journal of chemical physics·2026
Same journal

Molecular structure, binding, and disorder in TDBC-Ag plexcitonic assemblies.

The Journal of chemical physics·2026
See all related articles

Related Experiment Videos

Optimizing sparse sampling for 2D electronic spectroscopy.

Sebastian Roeding1, Nikita Klimovich1, Tobias Brixner1

  • 1Institut für Physikalische und Theoretische Chemie, Universität Würzburg, Am Hubland, 97074 Würzburg, Germany.

The Journal of Chemical Physics
|March 3, 2017
PubMed
Summary
This summary is machine-generated.

We developed a faster data acquisition method for multidimensional electronic spectroscopy using optimized non-uniform sampling and compressed sensing. This technique significantly reduces experiment times while accurately capturing transient dynamics.

Related Experiment Videos

Area of Science:

  • Spectroscopy
  • Quantum Chemistry
  • Data Science

Background:

  • Multidimensional electronic spectroscopy is crucial for studying ultrafast chemical dynamics.
  • Traditional methods require long acquisition times, limiting their application.
  • Optimizing data sampling and reconstruction is key to accelerating spectroscopic techniques.

Purpose of the Study:

  • To develop a novel data acquisition strategy for action-based multidimensional electronic spectroscopy.
  • To significantly decrease acquisition times while maintaining spectral accuracy.
  • To enhance the reconstruction of transient dynamics from spectroscopic data.

Main Methods:

  • Implemented optimized non-uniform sampling (NUS) with a genetic algorithm to determine optimal sampling patterns.
  • Utilized compressed sensing for reconstructing spectroscopic data from undersampled measurements.
  • Transformed two-dimensional (2D) spectra into a 4D time-frequency von Neumann representation for improved sparsity.

Main Results:

  • Achieved substantial reduction in data acquisition time for multidimensional electronic spectroscopy.
  • Demonstrated successful recovery of transient dynamics in a cresyl violet sample.
  • Utilized only 25% of the original data points for accurate spectral reconstruction.

Conclusions:

  • The proposed optimized NUS and compressed sensing approach significantly accelerates multidimensional electronic spectroscopy.
  • The 4D time-frequency von Neumann representation offers improved data sparsity and reconstruction fidelity.
  • This method enables efficient study of ultrafast chemical processes with reduced experimental burden.