Evidence map›Paper›PMID 38871757›Full record

ArticleScientific reports2024

Insights into polycrystalline microstructure of blood films with 3D Mueller matrix imaging approach.

Alexander G Ushenko, Anton Sdobnov, Irina V Soltys, Yuriy A Ushenko, Alexander V Dubolazov, Valery M Sklyarchuk, Alexander V Olar, Liliya Trifonyuk, Alexander Doronin, Wenjun Yan and 2 more

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Alexander G UshenkoTaizhou Institute of Zhejiang University, Taizhou, 310027, China.
Anton SdobnovOptoelectronics and Measurement Techniques, University of Oulu, P.O. Box 4500, 900014, Oulu, Finland.
Irina V SoltysOptics and Publishing Department, Yuriy Fedkovych Chernivtsi National University, 2 Kotsiubynskyi Str., Chernivtsi, 58002, Ukraine.
Yuriy A UshenkoDepartment of Physics, Shaoxing University, Shaoxing, Zhejiang, 312000, China.
Alexander V DubolazovOptics and Publishing Department, Yuriy Fedkovych Chernivtsi National University, 2 Kotsiubynskyi Str., Chernivtsi, 58002, Ukraine.
Valery M SklyarchukOptics and Publishing Department, Yuriy Fedkovych Chernivtsi National University, 2 Kotsiubynskyi Str., Chernivtsi, 58002, Ukraine.
Alexander V OlarOptics and Publishing Department, Yuriy Fedkovych Chernivtsi National University, 2 Kotsiubynskyi Str., Chernivtsi, 58002, Ukraine.
Liliya TrifonyukRivne State Medical Center, 78 Kyivska Str., Rivne, 33007, Ukraine.
Alexander DoroninSchool of Engineering and Computer Science, Victoria University of Wellington, 6140, Wellington, New Zealand.
Wenjun YanTaizhou Institute of Zhejiang University, Taizhou, 310027, China.
Alexander BykovOptoelectronics and Measurement Techniques, University of Oulu, P.O. Box 4500, 900014, Oulu, Finland.
Igor MeglinskiCollege of Engineering and Physical Sciences, Aston University, Birmingham, B4 7ET, UK. i.meglinski@aston.ac.uk.

Funding

ATTRACT II METAHiLight project funded by the European Union's Horizon 2020 research and innovative programme 101004462National Research Foundation of Ukraine Project 2020.02/0061National Research Foundation of Ukraine Project 2022.01/0034Research Council of Finland 351068Research Council of Finland 358200UK The Royal Society APX111232 APEX Awards 2021
6 · The paper itself

Abstract

This study introduces a novel approach in the realm of liquid biopsies, employing a 3D Mueller-matrix (MM) image reconstruction technique to analyze dehydrated blood smear polycrystalline structures. Our research centers on exploiting the unique optical anisotropy properties of blood proteins, which undergo structural alterations at the quaternary and tertiary levels in the early stages of diseases such as cancer. These alterations manifest as distinct patterns in the polycrystalline microstructure of dried blood droplets, offering a minimally invasive yet highly effective method for early disease detection. We utilized a groundbreaking 3D MM mapping technique, integrated with digital holographic reconstruction, to perform a detailed layer-by-layer analysis of partially depolarizing dry blood smears. This method allows us to extract critical optical anisotropy parameters, enabling the differentiation of blood films from healthy individuals and prostate cancer patients. Our technique uniquely combines polarization-holographic and differential MM methodologies to spatially characterize the 3D polycrystalline structures within blood films. A key advancement in our study is the quantitative evaluation of optical anisotropy maps using statistical moments (first to fourth orders) of linear and circular birefringence and dichroism distributions. This analysis provides a comprehensive characterization of the mean, variance, skewness, and kurtosis of these distributions, crucial for identifying significant differences between healthy and cancerous samples. Our findings demonstrate an exceptional accuracy rate of over

Indexed as

HolographyImaging, Three-DimensionalAnisotropyHumansLiquid BiopsyMaleProstatic Neoplasms3D Mueller matrixBirefringenceBloodCancer diagnosisLiquid biopsyPolarized lightPolycrystalline thin films

Identifiers

PMID38871757
PMCPMC11176350

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Registered trials

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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.