Mueller Matrix Analysis
Mueller Matrix Analysis - Related Videos
07:49
On-line Analysis of Nitrogen Containing Compounds in Complex Hydrocarbon Matrixes
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Cited by 14 •
2016
A method combining comprehensive two-dimensional gas chromatography with nitrogen chemiluminescence detection has been developed and applied to on-line analysis of nitrogen containing compounds in a complex hydrocarbon matrix.
14:02
Glycoproteomics of the Extracellular Matrix: A Method for Intact Glycopeptide Analysis Using Mass Spectrometry
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Cited by 30 •
2017
This paper describes a methodology to prepare cardiovascular tissue samples for MS analysis that allows for (1) the analysis of ECM protein composition, (2) the identification of glycosylation sites, and (3) the compositional characterization of glycan forms. This methodology can be applied, with minor modifications, to the study of the ECM in other tissues.
07:28
Enrichment of Extracellular Matrix Proteins from Tissues and Digestion into Peptides for Mass Spectrometry Analysis
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Cited by 133 •
2015
This protocol describes a procedure for enriching ECM proteins from tissues or tumors and deglycosylating and digesting the ECM-enriched preparations into peptides to analyze their protein composition by mass spectrometry.
08:02
Analysis of Cell Migration within a Three-dimensional Collagen Matrix
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Cited by 27 •
2014
Cell migration is a biological phenomenon that is involved in a plethora of physiological, such as wound healing and immune responses, and pathophysiological processes, like cancer. The 3D-collagen matrix migration assay is a versatile tool to analyze the migratory properties of different cell types within in a 3D physiological-like environment.
09:40
A Rapid, Scalable Method for the Isolation, Functional Study, and Analysis of Cell-derived Extracellular Matrix
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Cited by 42 •
2017
The extracellular matrix plays a major role in defining the microenvironment of cells and in modulating cell behavior and phenotype. We describe a rapid method for the isolation of cell-derived extracellular matrix, which can be adapted to different scales for microscopic, biochemical, proteomic, or functional studies.
FAQs
An incident beam is described by a Stokes vector, and the 4 × 4 matrix maps that input description to the measured output. Comparing the transformed vector with the incoming state exposes how the tested material or component changes light. This mathematical relationship lets engineers analyze a system response rather than relying only on a single intensity measurement.
The matrix can be interpreted by separating several contributions to the measured response: intensity changes, polarization changes, retardance, diattenuation, and depolarization. Retardance and diattenuation describe distinct polarization-related behavior, while depolarization indicates loss of a fully organized polarization state. Keeping these effects conceptually separate helps engineers identify which aspect of a component requires design improvement or quality-control attention.
Depolarization deserves separate attention because it is one of several distinct changes a component may impose on light. If it is combined with intensity, retardance, or diattenuation results, engineers may lose the ability to identify the specific behavior being measured. Isolating it therefore supports clearer material characterization, system calibration, and quality-control decisions.
A basic workflow starts by measuring the incident and output light states, then expressing the system response with a 4 × 4 matrix that maps the input Stokes vector to the output. Engineers can model the measured response and interpret its intensity, polarization, retardance, diattenuation, and depolarization contributions. The final comparison supports characterization, calibration, or quality-control evaluation.
Optical coatings, sensors, imaging systems, and other polarization-sensitive devices are direct application areas. In each case, the analysis can reveal how the item changes light and provide information for engineering design or quality control. This makes it useful both for evaluating an individual material or component and for assessing polarization behavior within a larger optical system.
Results can support material characterization, system calibration, defect detection, and improved optical performance. Characterization describes the optical behavior of a material or component, while calibration uses that behavior to establish or adjust system response. In quality-control settings, unusual matrix-derived changes can help expose defects; during design, the same information can guide improvements to polarization-sensitive performance.