Evidence map›Paper›PMID 31749042›Full record

ArticleLasers in medical science2020

Differential Mueller matrix imaging of partially depolarizing optically anisotropic biological tissues.

L Trifonyuk, A Sdobnov, W Baranowski, V Ushenko, O Olar, A Dubolazov, L Pidkamin, M Sidor, O Vanchuliak, A Motrich and 2 more

Abstract read
In one paragraph

Article in Lasers in medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  5. Spatial frequency domain Mueller matrix imaging.Journal of biomedical optics · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

L TrifonyukRivne State Medical Center, 78 Kyivska Str, Rivne, 33007, Ukraine.
A SdobnovFaculty of Information Technology and Electrical Engineering, University of Oulu, 90570, Oulu, Finland.
W BaranowskiWarsaw Military Institute of Medicine, 04141, Warsaw, Poland.
V UshenkoChernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine.
O OlarChernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine.
A DubolazovChernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine.
L PidkaminChernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine.
M SidorChernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine.
O VanchuliakBukovinian State Medical University, 3 Theatral Sq, Chernivtsi, 58000, Ukraine.
A MotrichChernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine.
M GorskyChernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine.
I MeglinskiFaculty of Information Technology and Electrical Engineering, University of Oulu, 90570, Oulu, Finland. igor.meglinski@oulu.fi.

Funding

Academy of Finland 311698MEPhI Academic Excellence Project 02.a03.21.0005
6 · The paper itself

Abstract

Since recently, a number of innovative polarization-based optical imaging modalities have been introduced and extensively used in various biomedical applications, with an ultimate aim to attain the practical tool for the optical biopsy and functional characterization of biological tissues. The techniques utilize polarization properties of light and Mueller matrix mapping of microscopic images of histological sections of biological tissues or polycrystalline films of biological fluids. The main drawback of currently developed laser polarimetry approaches and Mueller matrix mapping techniques is poor reproducibility of experimental data. This is due to azimuthal dependence of polarization and ellipticity values of most matrix elements to sample orientation in respect to incidence light polarization. Current study aims to generalize the methods of laser polarimetry for diagnosis of partially depolarizing optically anisotropic biological tissues. A method of differential Mueller matrix mapping for reconstruction of linear and circular birefringence and dichroism parameter distributions of partially depolarizing layers of biological tissues of different morphological structure is introduced and practically implemented. The coordinate distributions of the value of the first-order differential matrix elements of histological sections of brain tissue with spatially structured, optically anisotropic fibrillar network, as well as of parenchymatous tissue of the rectum wall with an "islet" polycrystalline structure are determined. Within the statistical analysis of polarization reproduced distributions of the averaged parameters of phase and amplitude anisotropy, the significant sensitivity of the statistical moments of the third and fourth orders to changes in the polycrystalline structure of partially depolarizing layers of biological tissue is observed. The differentiation of female reproductive sphere connective tissue is realized with excellent accuracy. The differential Mueller matrix mapping method for reconstruction of distributions of linear and circular birefringence and dichroism parameters of partially depolarizing layers of biological tissues of different morphological structures is proposed and substantiated. Differential diagnostics of changes in the phase (good balanced accuracy) and amplitude (excellent balanced accuracy) of the anisotropy of the partially depolarizing layers of the vagina wall tissue with prolapse of the genitals is realized. The maximum diagnostic efficiency of the first-order differential matrix method was demonstrated in comparison with the traditional methods of polarization and Mueller matrix mapping of histological sections of light-scattering biological tissues.

Indexed as

AnisotropyBrainFemaleHumansMicroscopy, PolarizationOptical ImagingStatistics as TopicBiomedical imagingBirefringenceMueller matrixOptical anisotropyPartial depolarizationPolarized light

Identifiers

PMID31749042
PMCPMC7260284

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.