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

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

783
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...
783
Upsampling01:22

Upsampling

658
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...
658
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

767
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
767
Deconvolution01:20

Deconvolution

638
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
638
Downsampling01:20

Downsampling

724
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
724
Signal Flow Graphs01:18

Signal Flow Graphs

679
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
679

You might also read

Related Articles

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

Sort by
Same author

A Photocaged Microtubule-Stabilising Epothilone Allows Spatiotemporal Control of Cytoskeletal Dynamics.

Angewandte Chemie (International ed. in English)·2024
Same author

Rho GTPase activity crosstalk mediated by Arhgef11 and Arhgef12 coordinates cell protrusion-retraction cycles.

Nature communications·2023
Same author

Cdc42 activity in the trailing edge is required for persistent directional migration of keratinocytes.

Molecular biology of the cell·2023
Same author

Design and synthesis of Nrf2-derived hydrocarbon stapled peptides for the disruption of protein-DNA-interactions.

PloS one·2022
Same author

Synthesis and Characterization of Cationic Hydrogels from Thiolated Copolymers for Independent Manipulation of Mechanical and Chemical Properties of Cell Substrates.

Macromolecular bioscience·2022
Same author

Monitoring the Response of Multiple Signal Network Components to Acute Chemo-Optogenetic Perturbations in Living Cells.

Chembiochem : a European journal of chemical biology·2021
Same journal

Lipid Metabolic Labeling to Study Site- and Lipid-Specific Long-Chain <i>S</i>-Acylation Dynamics.

ACS chemical biology·2026
Same journal

Inositol Thiophosphates as Inhibitors of Mammalian, Plant, and Fungal Phytases.

ACS chemical biology·2026
Same journal

Synthesis and Characterization of the Spectroscopic and Imaging Utilities of Two Indole-Based Cyan Fluorescent Nucleoside Analogues.

ACS chemical biology·2026
Same journal

Indole Ring Expansion and Rearrangement-Enabled Quinoline Scaffold Formation in the Biosynthesis of the Antitumor Monoterpene Indole Alkaloid Camptothecin.

ACS chemical biology·2026
Same journal

Intracellular Delivery of Peptides and Proteins with an Engineered Membrane Translocation Domain.

ACS chemical biology·2026
Same journal

Development of Next-Generation Fluoroacetamidine-Containing Activity-Based Probes for the Selective Labeling of the Protein Arginine Deiminases (PADs).

ACS chemical biology·2026
See all related articles

Related Experiment Video

Updated: Feb 24, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

9.1K

Deblurring Signal Network Dynamics.

Dominic Kamps1, Leif Dehmelt1

  • 1Department for Systemic Cell Biology, Max Planck Institute of Molecular Physiology and Fakultät für Chemie und Chemische Biologie, Technische Universität Dortmund , Dortmund, Germany.

ACS Chemical Biology
|August 15, 2017
PubMed
Summary
This summary is machine-generated.

Cells integrate complex signals for development, but studying these dynamic networks is hard. New hybrid methods offer precise spatiotemporal analysis of cellular signaling pathways to understand development and disease.

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K
Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates
10:18

Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates

Published on: July 9, 2020

3.4K

Related Experiment Videos

Last Updated: Feb 24, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

9.1K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K
Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates
10:18

Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates

Published on: July 9, 2020

3.4K

Area of Science:

  • Cellular biology
  • Systems biology
  • Biophysics

Background:

  • Multicellular organisms rely on intricate intracellular and extracellular signaling networks for development and function.
  • Analyzing these dynamic, cell-specific signaling states is challenging using traditional methods, often obscuring causal relationships.
  • Existing techniques struggle with simultaneous monitoring of multiple signal activities and precise spatial control of perturbations.

Purpose of the Study:

  • To address the limitations in analyzing dynamic cellular signaling networks.
  • To develop and showcase hybrid strategies for high-resolution spatiotemporal analysis of cell signaling.
  • To gain deeper insights into the mechanisms governing cellular function in space and time.

Main Methods:

  • Integration of optogenetics, surface patterning, chemical tools, and protein design.
  • Development of hybrid experimental strategies for precise perturbation and measurement.
  • Application of single-cell analysis techniques combined with advanced perturbation methods.

Main Results:

  • Overcoming limitations of traditional single-cell techniques in monitoring signal activities.
  • Enhancing spatial precision of perturbations to better analyze spatiotemporal signaling.
  • Sharpening the view into the dynamic spatiotemporal states of cellular signal networks.

Conclusions:

  • Hybrid strategies provide a powerful approach to dissect complex cellular signaling.
  • These methods enable unprecedented insights into the spatiotemporal control of cellular function.
  • This work paves the way for understanding developmental disorders and cancer mechanisms.