Evidence map›Paper›PMID 41367898›Full record

ArticleBiophysical reviews2025

Second harmonic generation for brain imaging: pathology-related studies.

Mikhail Paveliev, Anastasiia Melnikova, Dmitry V Samigullin, Anton A Egorchev, Angelina A Titova, Andrey P Kiyasov, Irina Yu Popova, Vladimir Parpura, Albert V Aganov

Abstract read
In one paragraph

Article in Biophysical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

9 authors.

Mikhail PavelievInstitute of Physics, Kazan Federal University, 16a Kremlyovskaya St., Kazan 420008, Russia.
Anastasiia MelnikovaInstitute of Physics, Kazan Federal University, 16a Kremlyovskaya St., Kazan 420008, Russia.
Dmitry V SamigullinKazan Institute of Biochemistry and Biophysics, FRC Kazan Scientific Center, Russian Academy of Sciences, P.O. box 261, Kazan 420111, Russia.
Anton A EgorchevInstitute of Computational Mathematics and Information Technologies, Kazan Federal University, Kremlyovskaya 35, Kazan, Tatarstan 420008, Russia.
Angelina A TitovaInstitute of Fundamental Medicine and Biology, Kazan Federal University, Karl Marx 74, Kazan 420015 Russia.
Andrey P KiyasovInstitute of Fundamental Medicine and Biology, Kazan Federal University, Karl Marx 74, Kazan 420015 Russia.
Irina Yu PopovaInstitute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Russia.
Vladimir ParpuraInternational Translational Neuroscience Research Institute, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.
Albert V AganovInstitute of Physics, Kazan Federal University, 16a Kremlyovskaya St., Kazan 420008, Russia.

Funding

Connexin 43 Modulates Regulated ExocytosisR01GM123971 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GRAY, MICHELLE · 2019 to 2022
$1.3M
NIGMS NIH HHS R01 GM123971
6 · The paper itself

Abstract

Microscopy of the brain has been facing problems of contrast and thick tissue imaging. Second harmonic generation (SHG) is a non-linear effect of the light interaction with the imaged material, resulting in photon emission at half the wavelength of the absorbed light. SHG microscopy provides an unprecedented opportunity for imaging collagen and other noncentrosymmetric protein fibrils in unstained thick tissue samples and in the live brain via a regular multiphoton setup. This opens a remarkable methodological window for imaging pathological processes of high importance, including brain trauma, fibrosis, tumorigenesis, and neuroimplant-induced foreign body response. Moreover, SHG is a valuable tool for imaging astrocytes and nerve fiber microtubules. Third harmonic generation enhanced by three-photon resonance with the Soret band of hemoglobin is combined with SHG to resolve the microstructure of blood vessel walls and astrocyte-process endfeet on gliovascular interfaces. Here, we review current state-of-the-art methods in the field of brain imaging applications of SHG, including research on brain and spinal cord injury, glioma, ischemia, Alzheimer's disease, neuroimplantation, and brain meninges. We then address the method development perspective in the broader context of other tissue pathologies. Finally, we account for recent progress in artificial intelligence applications for SHG microscopy data analysis.

Indexed as

Brain–computer interfaceBrain imagingCollagenGliomaMachine learningSecond harmonic generation

Identifiers

PMID41367898
PMCPMC12685055

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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.