2022
DOI: 10.1117/1.ap.4.2.026001
|View full text |Cite
|
Sign up to set email alerts
|

Revealing complex optical phenomena through vectorial metrics

Abstract: Advances in vectorial polarization-resolved imaging are bringing new capabilities to applications ranging from fundamental physics through to clinical diagnosis. Imaging polarimetry requires determination of the Mueller matrix (MM) at every point, providing a complete description of an object's vectorial properties. Despite forming a comprehensive representation, the MM does not usually provide easily interpretable information about the object's internal structure. Certain simpler vectorial metrics are derived… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
29
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8
1

Relationship

4
5

Authors

Journals

citations
Cited by 36 publications
(30 citation statements)
references
References 68 publications
1
29
0
Order By: Relevance
“…The Mueller matrix, which characterizes the change of polarization state of light after light–matter interaction, contains rich microstructural information about the medium ( Chen et al, 2020 ; Hu et al, 2020 ). However, it is often difficult to obtain specific microstructural information through individual Mueller matrix elements ( He et al, 2022 ; Li et al, 2022 ). To further disentangle the information encoded in the Mueller matrix, the Mueller matrix polar decomposition (MMPD) method ( Lu and Chipman, 1996 ; Ghosh et al, 2008 ) was proposed and prevalently used in the biomedical studies ( Morio and Goudail, 2004 ) to derive a group of polarization parameters with clear physical meanings.…”
Section: Introductionmentioning
confidence: 99%
“…The Mueller matrix, which characterizes the change of polarization state of light after light–matter interaction, contains rich microstructural information about the medium ( Chen et al, 2020 ; Hu et al, 2020 ). However, it is often difficult to obtain specific microstructural information through individual Mueller matrix elements ( He et al, 2022 ; Li et al, 2022 ). To further disentangle the information encoded in the Mueller matrix, the Mueller matrix polar decomposition (MMPD) method ( Lu and Chipman, 1996 ; Ghosh et al, 2008 ) was proposed and prevalently used in the biomedical studies ( Morio and Goudail, 2004 ) to derive a group of polarization parameters with clear physical meanings.…”
Section: Introductionmentioning
confidence: 99%
“…While refractive solutions have lost popularity of late, recent developments in free-form optics have given new impetuses to this direction, with unprecedented control possible 81 , even for miniature on-wafer elements through direct laser writing 82 . Even simple refractive elements can be tailored for vectorial light, as has been elegantly shown with glass cones 83 and GRIN lens 84 , 85 , common elements in most optical laboratories and making clear that customised light does not always need customised tools.…”
Section: Higher-dimensional and Multiple Dof Classically Structured L...mentioning
confidence: 99%
“…where θ is the angle of fast axis and δ is the retardance. We can accurately calculate the polarization state of polarized light after passing through a retarder by the Mueller Matrix in Equation (7). However, if we need to generate a special polarization state, it will be complex to choose the incident polarization state or retarder's angle and retardance.…”
Section: Effect Of Linear Retarders On Polarization Statesmentioning
confidence: 99%
“…The Mueller matrix can provide complete polarization properties of samples, which are related to their microstructural features [1]. Benefitting from this, a series of Mueller matrix imaging techniques have been developed for different applications, such as material characterization [2,3] and the microstructure of biological tissue measurement [4][5][6][7][8]. Among the available applications, measurement accuracy is always a top concern because precise Mueller matrix measurement can provide more detailed polarization features of samples.…”
Section: Introductionmentioning
confidence: 99%