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

Entropy02:39

Entropy

36.0K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
36.0K
Entropy01:18

Entropy

3.6K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.6K
Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

24.3K
Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
24.3K
Entropy and Solvation02:05

Entropy and Solvation

8.4K
The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
8.4K
Entropy within the Cell01:22

Entropy within the Cell

12.9K
A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
12.9K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

4.9K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
4.9K

You might also read

Related Articles

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

Sort by
Same author

The microRNA-29a Modulates Serotonin 5-HT7 Receptor Expression and Its Effects on Hippocampal Neuronal Morphology.

Molecular neurobiology·2019
Same author

Cooking influence in tolerance acquisition in egg-induced acute food protein enterocolitis syndrome.

Allergologia et immunopathologia·2018
Same author

The plasmatic and salivary levels of IL-1β, IL-18 and IL-6 are associated to emotional difference during stress in young male.

Scientific reports·2018
Same author

Extremely low-frequency electromagnetic fields accelerates wound healing modulating MMP-9 and inflammatory cytokines.

Cell proliferation·2018
Same author

Understanding the role of steroids in typical and atypical brain development: Advantages of using a "brain in a dish" approach.

Journal of neuroendocrinology·2017
Same author

Stem cell-derived neurons from autistic individuals with SHANK3 mutation show morphogenetic abnormalities during early development.

Molecular psychiatry·2017
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jan 31, 2026

Imaging Dendritic Spines in Caenorhabditis elegans
09:14

Imaging Dendritic Spines in Caenorhabditis elegans

Published on: September 27, 2021

2.7K

Quantifying barcodes of dendritic spines using entropy-based metrics.

D Viggiano1,2, D P Srivastava3,4, L Speranza1

  • 1Institute of Genetics and Biophysics "Adriano Buzzati Traverso", CNR, Naples, 80131, Italy.

Scientific Reports
|October 1, 2015
PubMed
Summary
This summary is machine-generated.

We developed a novel entropy-based method to analyze dendritic spine motility from still images, overcoming limitations of current techniques. This approach enhances the study of synaptic plasticity in various biological preparations.

More Related Videos

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

7.4K
Analysis of Dendritic Spine Morphology in Cultured CNS Neurons
11:48

Analysis of Dendritic Spine Morphology in Cultured CNS Neurons

Published on: July 13, 2011

35.8K

Related Experiment Videos

Last Updated: Jan 31, 2026

Imaging Dendritic Spines in Caenorhabditis elegans
09:14

Imaging Dendritic Spines in Caenorhabditis elegans

Published on: September 27, 2021

2.7K
3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

7.4K
Analysis of Dendritic Spine Morphology in Cultured CNS Neurons
11:48

Analysis of Dendritic Spine Morphology in Cultured CNS Neurons

Published on: July 13, 2011

35.8K

Area of Science:

  • Neuroscience
  • Cell Biology
  • Biophysics

Background:

  • Spine motility analysis is crucial for understanding synaptic plasticity.
  • Current methods require complex, non-automatized instrumentation, limiting versatility.
  • There is a need for accessible methods to analyze spine dynamics.

Purpose of the Study:

  • To introduce an entropy-based method for analyzing dendritic spine spatial distribution.
  • To enable the estimation of spine motility from static images.
  • To expand the application of spine motility analysis to ex vivo preparations.

Main Methods:

  • Utilized an entropy-based approach to quantify the spatial distribution of dendritic spines.
  • Applied the method to still images of neuronal structures.
  • Validated the estimation of spine motility using this novel technique.

Main Results:

  • Successfully estimated dendritic spine motility from still images.
  • Demonstrated the effectiveness of the entropy-based method.
  • Showcased the potential for analyzing spine dynamics without complex live imaging.

Conclusions:

  • The developed entropy-based method offers a versatile and accessible tool for spine motility analysis.
  • This technique can be applied to ex vivo preparations, broadening research scope.
  • It provides a valuable alternative for investigating synaptic plasticity.