Effect of matrix properties on transmission and reflectance mode division-of-focal-plane Stokes polarimetry

Iannucci, Leanne E.; Riak, Matthew B.; Meitz, Ethan; Bersi, Matthew R.; Gruev, Viktor; Lake, Spencer P.

doi:10.1117/1.jbo.28.10.102902

Cited by 5 publications

(4 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Methods to produce tissue phantoms of varying collagen fiber alignment were identical to those previously described [ 10 ]. Briefly, a mixture of Type I collagen isolated from rat tail tendons and neonatal dermal human fibroblasts was generated and injection molded to create tissue phantoms of known and controlled collagen fiber alignment.…”

Section: Methodsmentioning

confidence: 99%

“…The DoFP Stokes polarimetric method used in this study is referred to as reflectance-mode quantitative polarized light imaging (rQPLI). rQPLI methods are identical to those previously described [ 10 ]. Briefly, a white LED fiber optic light source passes through a right-handed circular polarizing film and illuminates the sample of interest from 30° above the sample normal.…”

Section: Methodsmentioning

confidence: 99%

“…As described previously [ 10 ], qualitative DoLP and AoP color maps were generated to visualize the qualitative effect of noise on signal integrity at each light intensity. At each light intensity, the average signal and noise were calculated as the mean and standard deviation (STD), respectively, for the first 100 frames after preload but before commencement of dynamic testing for both DoLP and AoP ( Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Further, these in vivo polarimetric endoscopic applications are nearly always based on reflected light. Previously, Iannucci et al described reflectance mode-based division-of-focal-plane (DoFP) Stokes imaging as inherently noisier than transmission mode-based imaging due to the collection of primarily backscattered photons [ 10 ]. Therefore, it is important to understand how low SNR affects DoFP Stokes polarimetry outcomes such as DoLP and AoP to aid in potential clinical translation of the technique to endoscopic scenarios.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Influence of signal-to-noise ratio on DoLP and AoP measurements during reflectance-mode division-of-focal plane Stokes polarimetry of biological tissues

Iannucci,

Gruev,

Lake

2024

Biomed. Opt. Express

Self Cite

View full text Add to dashboard Cite

Stokes polarimeter based endoscopes are emerging as an area of technology where polarization imaging can greatly impact clinical care by improving diagnostic tools without the use of exogenous contrast. Image acquisition in minimally invasive surgical settings is often beset by inherently limited illumination. A comprehensive analysis of how signal-to-noise (SNR) propagates through Stokes polarimetric outcomes such as degree of linear polarization (DoLP) and angle of polarization (AoP) in low light is important for future interpretation of data acquired in low-light conditions. A previously developed theoretical model of quantitative polarized light imaging (QPLI) analysis described SNR as a function of both incident light intensity and DoLP. When polarized light interacts with biological tissues, the resultant DoLP of exiting light is dependent on the underlying tissue microstructure. Therefore, in this study we explore how low light impacts SNR of QPLI outcomes of DoLP and AoP differently in tissue phantoms of varying microstructures. Data are compared to theoretical solutions of SNR of DoLP and AoP. Tissues were additionally loaded to varying magnitudes of strain to investigate how variable SNR affects the ability to discern dynamic realignment in biological tissues. We observed a high degree of congruency between experimental and theoretical data, with SNR depending on both light intensity and DoLP. Additionally, we found that AoP may have a greater resilience to noise overall than DoLP and, as such, may be particularly useful in conditions where light is inherently limited.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Influence of signal-to-noise ratio on DoLP and AoP measurements during reflectance-mode division-of-focal plane Stokes polarimetry of biological tissues

Iannucci,

Gruev,

Lake

2024

Biomed. Opt. Express

Self Cite

View full text Add to dashboard Cite

show abstract

Time-efficient filtering of imaging polarimetric data by checking physical realizability of experimental Mueller matrices

Novikova,

Ovchinnikov,

Pogudin

et al. 2024

Bioinformatics

View full text Add to dashboard Cite

Motivation Imaging Mueller polarimetry has already proved its potential for biomedicine, remote sensing and metrology. The real-time applications of this modality require both video rate image acquisition and fast data post-processing algorithms. First, one must check the physical realizability of the experimental Mueller matrices in order to filter out non-physical data, ie to test the positive semi-definiteness of the 4 × 4 Hermitian coherency matrix calculated from the elements of corresponding Mueller matrix pixel-wise. For this purpose, we compared the execution time for the calculations of i) eigenvalues, ii) Cholesky decomposition, iii) Sylvester’s criterion, and iv) coefficients of the characteristic polynomial (two different approaches) of the Hermitian coherency matrix, all calculated for the experimental Mueller matrix images (600 pixels × 700 pixels) of mouse uterine cervix. The calculations were performed using C ++ and Julia programming languages. Results Our results showed the superiority of the algorithm iv) based on the simplification via Pauli matrices over other algorithms for our dataset. The sequential implementation of latter algorithm on a single core already satisfies the requirements of real-time polarimetric imaging. This can be further amplified by the proposed parallelization (e.g., we achieve a 5-fold speed up on 6 cores). Availability and implementation The source codes of the algorithms and experimental data are available at https://github.com/pogudingleb/mueller_matrices

show abstract

Mueller matrix analysis of a biologically sourced engineered tissue construct as polarimetric phantom

Lin,

Madnick,

Burrow

et al. 2024

J. Biomed. Opt.

View full text Add to dashboard Cite

The polarimetric properties of biological tissues are often difficult to ascertain independent of their complex structural and organizational features. Conventional polarimetric tissue phantoms have well-characterized optical properties but are overly simplified. We demonstrate that an innovative, biologically sourced, engineered tissue construct better recapitulates the desired structural and polarimetric properties of native collagenous tissues, with the added benefit of potential tunability of the polarimetric response. We bridge the gap between nonbiological polarimetric phantoms and native tissues.Aim: We aim to evaluate a synthesized tissue construct for its effectiveness as a phantom that mimics the polarimetric properties in typical collagenous tissues.Approach: We use a fibroblast-derived, ring-shaped engineered tissue construct as an innovative tissue phantom for polarimetric imaging. We perform polarimetry measurements and subsequent analysis using the Mueller matrix decomposition and Mueller matrix transformation methods. Scalar polarimetric parameters of the engineered tissue are analyzed at different time points for both a control group and for those treated with the transforming growth factor ðTGFÞ-β1. Second-harmonic generation (SHG) imaging and three-dimensional collagen fiber organization analysis are also applied. Results:We identify linear retardance and circular depolarization as the parameters that are most sensitive to the tissue culture time and the addition of TGF-β1. Aside from a statistically significant increase over time, the behavior of linear retardance and circular depolarization indicates that the addition of TGF-β1 accelerates the growth of the engineered tissue, which is consistent with expectations. We also find through SHG images that collagen fiber organization becomes more aligned over time but is not susceptible to the addition of TGF-β1. Conclusions:The engineered tissue construct exhibits changes in polarimetric properties, especially linear retardance and circular depolarization, over culture time and under TGF-β1 treatments. This tissue construct has the potential to act as a controlled modular optical phantom for polarimetric-based methods.

show abstract

Effect of matrix properties on transmission and reflectance mode division-of-focal-plane Stokes polarimetry

Cited by 5 publications

References 52 publications

Influence of signal-to-noise ratio on DoLP and AoP measurements during reflectance-mode division-of-focal plane Stokes polarimetry of biological tissues

Influence of signal-to-noise ratio on DoLP and AoP measurements during reflectance-mode division-of-focal plane Stokes polarimetry of biological tissues

Time-efficient filtering of imaging polarimetric data by checking physical realizability of experimental Mueller matrices

Mueller matrix analysis of a biologically sourced engineered tissue construct as polarimetric phantom

Contact Info

Product

Resources

About