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

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

3.0K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
3.0K
Atomic Nuclei: Nuclear Spin State Population Distribution01:14

Atomic Nuclei: Nuclear Spin State Population Distribution

2.4K
Near absolute zero temperatures, in the presence of a magnetic field, the majority of nuclei prefer the lower energy spin-up state to the higher energy spin-down state. As temperatures increase, the energy from thermal collisions distributes the spins more equally between the two states. The Boltzmann distribution equation gives the ratio of the number of spins predicted in the spin −½ (N−) and spin +½ (N+) states.
2.4K
Atomic Nuclei: Nuclear Relaxation Processes01:23

Atomic Nuclei: Nuclear Relaxation Processes

1.3K
In the absence of an external magnetic field, nuclear spin states are degenerate and randomly oriented. When a magnetic field is applied, the spins begin to precess and orient themselves along (lower energy) or against (higher energy) the direction of the field. At equilibrium, a slight excess population of spins exists in the lower energy state. Because the direction of the magnetic field is fixed as the z-axis,  the precessing magnetic moments are randomly oriented around the z-axis.
1.3K
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

573
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and 0s. In...
573
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

357
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
357
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

978
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
978

You might also read

Related Articles

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

Sort by
Same author

The actin cytoskeleton is required to maintain plant cell division orientation against cellular geometry.

Science advances·2026
Same author

Live Imaging Characterization of Centromere Movements During Male Meiotic Prophase in Arabidopsis thaliana.

Journal of visualized experiments : JoVE·2025
Same author

Identification of the cytoplasmic motor-LINC complex involved in rapid chromosome movements during meiotic prophase in Arabidopsis thaliana.

Nature plants·2025
Same author

Semiautomatic quantification of 3D Histone H3 phosphorylation signals during cell division in Arabidopsis root meristems.

The New phytologist·2025
Same author

A high-throughput differential chemical genetic screen uncovers genotype-specific compounds altering plant growth.

iScience·2025
Same author

"Plant modeling: opportunities and challenges" symposium, a snapshot of the research landscape.

Physiologia plantarum·2025

Related Experiment Video

Updated: Feb 20, 2026

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

9.0K

A Method for Testing Random Spatial Models on Nuclear Object Distributions.

Javier Arpòn1, Valérie Gaudin1, Philippe Andrey2

  • 1Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay, F-78000, Versailles, France.

Methods in Molecular Biology (Clifton, N.J.)
|October 21, 2017
PubMed
Summary

Understanding the cell nucleus requires analyzing genome organization and subnuclear compartments. This study presents a quantitative image analysis method to model nuclear object distribution, using chromocenters as an example.

Keywords:
ChromocentersImage processingNucleusRandom distributionSpatial descriptorsSpatial modelingThree-dimensional organization

More Related Videos

Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
08:55

Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses

Published on: June 7, 2018

9.0K
Scattering And Absorption of Light in Planetary Regoliths
11:34

Scattering And Absorption of Light in Planetary Regoliths

Published on: July 1, 2019

11.0K

Related Experiment Videos

Last Updated: Feb 20, 2026

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

9.0K
Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
08:55

Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses

Published on: June 7, 2018

9.0K
Scattering And Absorption of Light in Planetary Regoliths
11:34

Scattering And Absorption of Light in Planetary Regoliths

Published on: July 1, 2019

11.0K

Area of Science:

  • Cell Biology
  • Genomics
  • Quantitative Imaging

Background:

  • The cell nucleus is a complex organelle crucial for biological functions.
  • Understanding the three-dimensional genome organization and subnuclear compartments is essential for deciphering nuclear structure-function relationships.

Purpose of the Study:

  • To describe a quantitative image analysis procedure for studying nuclear organization.
  • To test a spatial random model for the distribution of nuclear objects, exemplified by chromocenters.
  • To provide a framework for developing more complex models of nuclear spatial organization.

Main Methods:

  • Quantitative image analysis of nuclear structures.
  • Application of spatial statistics and modeling techniques.
  • Development and testing of a spatial random model for nuclear object distribution.

Main Results:

  • A step-by-step procedure for image processing and spatial model testing is detailed.
  • The study demonstrates the utility of a spatial random model for analyzing nuclear object distribution using chromocenters.
  • The findings support the use of quantitative approaches to understand nuclear architecture.

Conclusions:

  • Quantitative image analysis and spatial modeling are powerful tools for investigating nuclear organization.
  • The presented random model serves as a foundation for more sophisticated analyses of subnuclear structures.
  • Further development of these models can elucidate the determinants of nuclear spatial organization.