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

Fast Reactions01:27

Fast Reactions

Fast reactions occurring in times shorter than the time needed to mix reactants pose a unique challenge for investigation. In a liquid-phase continuous-flow system, reactants A and B are swiftly pushed into the mixing chamber, where mixing occurs within 1 ms. The reaction mixture then flows through an observation tube, and one measures light absorption to determine species concentrations at various points of the tube. This method is most appropriate when relatively large volumes of reactants...
Discrete Fourier Transform01:15

Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
Measuring Reaction Rates03:09

Measuring Reaction Rates

Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical field in...
Discrete-time Fourier transform01:26

Discrete-time Fourier transform

The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...

You might also read

Related Articles

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

Sort by
Same author

Global genomic diversity of the selfing nematode <i>Caenorhabditis tropicalis</i> correlates with geography.

bioRxiv : the preprint server for biology·2026
Same author

Chemogenetic Modulation of Luciferase Emission Color for Imaging and Sensing.

ACS sensors·2026
Same author

Interplay between high-energy quenching and state transitions in Chlamydomonas reinhardtii: a single-cell approach.

The New phytologist·2026
Same author

Correction: Reversible and reusable compartmentalized thermoplastic chip for coculture of dorsal root ganglion neurons.

Lab on a chip·2026
Same author

Competition between glycine and GABA<sub>A</sub> receptors for gephyrin controls their equilibrium populations at inhibitory synapses.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

<i>Caenorhabditis briggsae</i> ancestral genomic hyper-diversity contrasts with globally distributed genome-wide haplotypes.

bioRxiv : the preprint server for biology·2025

Related Experiment Video

Updated: Jul 4, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Fourier transform to analyse reaction-diffusion dynamics in a microsystem.

André Estévez-Torres1, Thomas Le Saux, Charlie Gosse

  • 1Ecole Normale Supérieure, Département de Chimie, UMR CNRS ENS UPMC Paris 6 8640, 24, rue Lhomond, F-75005 Paris, France.

Lab on a Chip
|June 28, 2008
PubMed
Summary
This summary is machine-generated.

A novel microsystem enables the simultaneous extraction of thermodynamic, kinetic, and diffusion parameters for solution associations. This integrated approach simplifies complex measurements using a robust bi-exponential fit in a single experiment.

More Related Videos

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

Related Experiment Videos

Last Updated: Jul 4, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

Area of Science:

  • Biophysical chemistry
  • Chemical kinetics
  • Solution thermodynamics

Background:

  • Characterizing molecular interactions in solution is crucial for understanding biological and chemical processes.
  • Traditional methods often require multiple experiments to determine various kinetic and thermodynamic parameters.
  • A need exists for integrated, efficient methodologies to study solution-phase associations.

Purpose of the Study:

  • To introduce an integrated microsystem approach for comprehensive analysis of solution associations.
  • To enable the simultaneous determination of thermodynamic, kinetic, and diffusion parameters.
  • To simplify the experimental process for studying molecular interactions.

Main Methods:

  • Development and application of a novel microsystem for molecular interaction studies.
  • Utilizing a single experimental setup for data acquisition.
  • Employing a global robust bi-exponential fitting algorithm for data analysis.

Main Results:

  • Successfully extracted an extensive set of thermodynamic, kinetic, and diffusion parameters.
  • Demonstrated the efficiency and robustness of the integrated microsystem approach.
  • Validated the accuracy of the global bi-exponential fit for complex association data.

Conclusions:

  • The presented integrated microsystem offers a powerful and simplified tool for characterizing solution associations.
  • This method provides a comprehensive understanding of molecular interactions by determining multiple key parameters simultaneously.
  • The approach has significant implications for advancing research in biophysical chemistry and related fields.