Evidence map›Paper›PMID 42027716›Full record

ArticleBiophotonics discovery2026

Ultrastructural analysis of human uncinate fasciculus with coherent anti-Stokes Raman spectroscopy.

Kelly Perlman, Valérie Pineau Noël, Armand Collin, Justine Major, Murielle Mardenli, Sébastien Jerczynski, Maria Antonietta Davoli, Julien Cohen-Adad, Daniel Côté, Naguib Mechawar

Abstract read
In one paragraph

Article in Biophotonics discovery, 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

10 authors.

Kelly PerlmanDouglas Mental Health University Institute, Verdun, Canada.ORCID https://orcid.org/0000-0002-2716-0712
Valérie Pineau NoëlCERVO brain research center, Université, Department of Physics, Laval, Québec, Canada.
Armand CollinNeuroPoly Lab, Department of Electrical Engineering, Polytechnique Montreal, Montreal, Québec, Canada.
Justine MajorCERVO brain research center, Université, Department of Physics, Laval, Québec, Canada.
Murielle MardenliNeuroPoly Lab, Department of Electrical Engineering, Polytechnique Montreal, Montreal, Québec, Canada.
Sébastien JerczynskiCERVO brain research center, Université, Department of Physics, Laval, Québec, Canada.
Maria Antonietta DavoliDouglas Mental Health University Institute, Verdun, Canada.ORCID https://orcid.org/0009-0009-1846-7454
Julien Cohen-AdadNeuroPoly Lab, Department of Electrical Engineering, Polytechnique Montreal, Montreal, Québec, Canada.
Daniel CôtéCERVO brain research center, Université, Department of Physics, Laval, Québec, Canada.ORCID https://orcid.org/0000-0001-6440-6948
Naguib MechawarDouglas Mental Health University Institute, Verdun, Canada.ORCID https://orcid.org/0000-0003-4960-756X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Characterizing the ultrastructure of myelin in the human brain is key to understanding the neurobiology of both health and disease. In postmortem human brain tissue, electron microscopy is often technically unfeasible due to poorer tissue quality. Aim: The uncinate fasciculus (UF) is a long-range white matter association tract that connects the anterior temporal lobe with the orbitofrontal cortex. The UF is not present in rodents yet is highly expanded in humans and nonhuman primates. As such, its molecular and ultrastructural properties are virtually unknown. Approach: Here, we develop and validate a spectral-focusing coherent anti-Stokes Raman spectroscopy (sf-CARS) system coupled with a custom AxonDeepSeg segmentation model to characterize UF ultrastructure in the human postmortem brain ( Results: We provide a proof of concept of this new methodological pipeline in the UF temporal segment and observe that the mean axon diameter detected is Conclusions: We detail and validate the full methodology, including tissue fixation and sectioning, sf-CARS acquisition settings, as well as the AxonDeepSeg deep learning model parameters, such that this pipeline can be utilized by others in the field.

Indexed as

coherent anti-Stokes Raman spectroscopydeep learninghuman brainmyelinpostmortemsegmentationspectral-focusing coherent anti-Stokes Raman spectroscopy

Identifiers

PMID42027716
PMCPMC13101438

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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.