Evidence map›Paper›PMID 39290462›Full record

ArticleJournal of biomedical optics2024

PoLambRimetry: a multispectral polarimetric atlas of lamb brain.

Verónica Mieites, Giulio Anichini, Ji Qi, Kevin O'Neill, Olga M Conde, Daniel S Elson

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Verónica MieitesUniversity of Cantabria, Photonics Engineering Group, Santander, Spain.ORCID 0000-0002-1793-3793
Giulio AnichiniImperial College London, Department of Brain Sciences, London, United Kingdom.ORCID 0000-0001-6608-3310
Ji QiResearch Centre for Fundamental Research, Zhejiang Lab, Hangzhou, China.
Kevin O'NeillImperial College London, Department of Brain Sciences, London, United Kingdom.
Olga M CondeUniversity of Cantabria, Photonics Engineering Group, Santander, Spain.ORCID 0000-0002-2471-3051
Daniel S ElsonImperial College London, Hamlyn Centre for Robotic Surgery, Department of Surgery and Cancer, London, United Kingdom.ORCID 0000-0002-5578-3941

Funding

Wellcome Trust
6 · The paper itself

Abstract

Significance: Mueller matrix imaging (MMI) is a comprehensive form of polarization imaging useful for assessing structural changes. However, there is limited literature on the polarimetric properties of brain specimens, especially with multispectral analysis. Aim: We aim to employ multispectral MMI for an exhaustive polarimetric analysis of brain structures, providing a reference dataset for future studies and enhancing the understanding of brain anatomy for clinicians and researchers. Approach: A multispectral wide-field MMI system was used to measure six fresh lamb brain specimens. Multiple decomposition methods (forward polar, symmetric, and differential) and polarization invariants (indices of polarimetric purity and anisotropy coefficients) have been calculated to obtain a complete polarimetric description of the samples. A total of 16 labels based on major brain structures, including grey matter (GM) and white matter (WM), were identified. Results: As the wavelength increases, both depolarization and retardance increase, suggesting enhanced tissue penetration into deeper layers. Moreover, utilizing multiple wavelengths allowed us to track dynamic shifts in the optical axis of retardance within the brain tissue, providing insights into morphological changes in WM beneath the cortical surface. The use of multispectral data for classification outperformed all results obtained with single-wavelength data and provided over 95% accuracy for the test dataset. Conclusions: The consistency of these observations highlights the potential of multispectral wide-field MMI as a non-invasive and effective technique for investigating the brain's architecture.

Indexed as

BrainAnimalsAnisotropyGray MatterImage Processing, Computer-AssistedOptical ImagingSheepWhite Matterbrain tissueMueller matrix imagingmultispectral imagingnon-invasive imagingoptical propertieswide field

Identifiers

PMID39290462
PMCPMC11406468

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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.