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

Gaussian Elimination: Problem Solving01:30

Gaussian Elimination: Problem Solving

266
Systems of linear equations in several variables are pivotal in modeling complex scenarios involving multiple unknowns and constraints. Such systems are widely used in various fields to represent relationships where several conditions must be simultaneously satisfied. Each variable in the system corresponds to an unknown quantity, while each equation imposes a linear constraint, leading to a structured approach for analyzing and solving real-world problems.A system of three equations with three...
266
Euler's Formula to Columns with Other End Conditions01:15

Euler's Formula to Columns with Other End Conditions

1.2K
Euler's formula is very important in the field of structural engineering, providing a foundation for understanding the critical loading conditions of pin-ended columns. This formula links the modulus of elasticity, the moment of inertia of the cross-section, and the column's length, offering a precise calculation of the critical load at which a column is prone to buckling.
1.2K
Euler's Formula to Columns: Problem Solving01:23

Euler's Formula to Columns: Problem Solving

1.1K
Euler's formula is used in structural engineering to determine the buckling load of columns under various conditions. However, when dealing with systems that incorporate both rigid elements and elastic components, such as springs, the analysis requires a finer approach to determine the critical load. The problem described involves two rigid bars connected at a pivot point with a spring attached and a vertical load applied at one end.
The system comprises two vertical rigid bars, AB and BC, of...
1.1K
Role of Matrix Metalloproteases in Degradation of ECM01:23

Role of Matrix Metalloproteases in Degradation of ECM

3.6K
Matrix metalloproteases (MMPs) are enzymes involved in the hydrolysis of proteins and glycoproteins of the extracellular matrix. MMPs are essential for the migration and proliferation of cells through the dense matrix network, throughout embryonic development, and throughout morphogenesis. The first MMP activity discovered was a collagenase in a tadpole's tail undergoing metamorphosis. The active collagen deposition and modifications lead to the morphogenesis of tadpoles into the adult...
3.6K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

5.6K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
5.6K
Overview of Cell-Matrix Interactions01:24

Overview of Cell-Matrix Interactions

9.6K
The extracellular matrix or ECM holds cells together to form a tissue and allows the cells within the tissue to communicate. ECM comprises proteins such as fibronectin, collagen, laminin, etc. The most abundant protein in this space is collagen. Collagen fibers are interwoven with carbohydrate-containing protein molecules called proteoglycans. ECM allows cell migration and provides a structural scaffold at cell adhesion that anchors the cell when the extracellular matrix proteins interact with...
9.6K

You might also read

Related Articles

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

Sort by
Same author

Seat belt detection using polarimetric imaging.

Applied optics·2026
Same author

Experimental classification of dynamic speckle regimes: insights from controlled rotational diffuser measurements.

Journal of the Optical Society of America. A, Optics, image science, and vision·2025
Same author

Calibration of elliptical retarders in Mueller matrix spectroscopic polarimetry and ellipsometry.

Optics express·2025
Same author

The <i>Ď€</i> phase in polarization optics: retrospective.

Journal of the Optical Society of America. A, Optics, image science, and vision·2025
Same author

Compact formulation of the transparent-absorbing isotropic interface electromagnetic problem: erratum.

Journal of the Optical Society of America. A, Optics, image science, and vision·2025
Same author

Robust calibration method for polarization cameras integrated with chromatic retarders.

Optics express·2025

Related Experiment Video

Updated: Mar 19, 2026

A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates
08:41

A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates

Published on: July 17, 2020

5.4K

Completing an experimental non-depolarizing Mueller matrix with both a row and a column missing.

Razvigor Ossikovski, Oriol Arteaga

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |March 17, 2026
    PubMed
    Summary

    This study introduces an efficient algebraic method to complete partial Mueller matrices for real-time polarimetry applications. The technique accurately reconstructs full Mueller matrices from incomplete data without approximations, enhancing spectroscopic measurements.

    More Related Videos

    2D and 3D Matrices to Study Linear Invadosome Formation and Activity
    12:25

    2D and 3D Matrices to Study Linear Invadosome Formation and Activity

    Published on: June 2, 2017

    10.5K
    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
    07:35

    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

    Published on: October 11, 2018

    8.1K

    Related Experiment Videos

    Last Updated: Mar 19, 2026

    A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates
    08:41

    A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates

    Published on: July 17, 2020

    5.4K
    2D and 3D Matrices to Study Linear Invadosome Formation and Activity
    12:25

    2D and 3D Matrices to Study Linear Invadosome Formation and Activity

    Published on: June 2, 2017

    10.5K
    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
    07:35

    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

    Published on: October 11, 2018

    8.1K

    Area of Science:

    • Optics and Photonics
    • Materials Science
    • Spectroscopy

    Background:

    • Mueller matrix polarimetry is crucial for real-time imaging and spectroscopy.
    • Acquiring full Mueller matrices can be challenging, often necessitating partial matrix measurements.

    Purpose of the Study:

    • To develop an efficient algebraic method for completing partial Mueller matrices.
    • To enable accurate full Mueller matrix reconstruction from incomplete data for non-depolarizing measurements.

    Main Methods:

    • An algebraic procedure is presented to reconstruct a full Mueller matrix when one row and one column are missing (9 elements measured).
    • The method avoids approximations and auxiliary calculations like Jones or covariance matrices.

    Main Results:

    • The novel procedure accurately completes partial Mueller matrices without approximations.
    • The method is validated in real-time spectroscopic measurements using snapshot instruments.

    Conclusions:

    • The developed algebraic method offers a fast and accurate solution for full Mueller matrix reconstruction from partial data.
    • This technique is applicable to both reflection and transmission configurations in real-time polarimetry.