Evidence map›Paper›PMID 42575126›Full record

ArticleJournal of biophotonics2026

Polarized Light Microscopy for Quantitative Assessment of Sarcomere-Scale Structural Order in Cardiac Tissue.

Gennadii Piavchenko, Artem Venediktov, Zoya Shamitko, Karina Urazova, Mariia Obelchakova, Evelina Khabarova, Anton Ershov, Natalia Kartashkina, Viktoria Grikh, Valerii Smirnov and 3 more

Abstract read
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In one paragraph

Article in Journal of biophotonics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Gennadii PiavchenkoHuman Anatomy and Histology Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.ORCID 0000-0001-7782-3468
Artem VenediktovHuman Anatomy and Histology Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Zoya ShamitkoHuman Anatomy and Histology Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Karina UrazovaHuman Anatomy and Histology Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.ORCID 0009-0005-3344-7890
Mariia ObelchakovaHuman Anatomy and Histology Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Evelina KhabarovaHuman Anatomy and Histology Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.ORCID 0009-0008-9401-4986
Anton ErshovPathophysiology Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Natalia KartashkinaHuman Anatomy and Histology Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Viktoria GrikhAnalytical, Physical and Colloid Chemistry Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Valerii SmirnovPharmaceutical and Toxicological Chemistry Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Galina RamenskayaPharmaceutical and Toxicological Chemistry Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Alexander YatskovskiyHuman Anatomy and Histology Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Igor MeglinskiHuman Anatomy and Histology Department, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.ORCID 0000-0002-7613-8191

Funding

Authors acknowledge the support from the European Union's Horizon Europe Research and Innovation Programme, OPTIPATH project 101185769
6 · The paper itself

Abstract

Polarization-resolved imaging provides a powerful, label-free means of visualizing anisotropic structural order in biological tissue, yet its quantitative exploitation remains limited in routine microscopy. Here, we present a polarization-resolved imaging approach based on polarized light microscopy (PLM) that enables automated, quantitative extraction of sarcomere-scale structural metrics from unstained cardiac tissue sections. Using experimental rat models of acute cardiorespiratory arrest as controlled test systems, we demonstrate that polarization-derived intensity profiles encode reproducible information on sarcomere length and band composition, with distinct patterns of structural compression observed across experimental conditions. Image-derived measurements were validated against conventional histological and immunohistochemical staining, highlighting the complementary value of polarization contrast for rapid, staining-free assessment of tissue anisotropy. Rather than addressing diagnostic specificity, this proof-of-concept study establishes PLM as a scalable quantitative imaging modality for polarization-resolved analysis of hierarchical structural order in biological tissue, with potential integration into multimodal imaging workflows in biomedical research.

Indexed as

MyocardiumSarcomeresAnimalsImage Processing, Computer-AssistedMicroscopy, PolarizationRatscardiac arresthistopathologymyocardial ischemiapolarized light microscopy (PLM)respiratory arrestsarcomere structure

Identifiers

PMID42575126
PMCPMC13456948

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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.