Evidence map›Paper›PMID 41270845›Full record

ArticleNeuroImage2025

Myelinated fiber labeling and orientation mapping of the human brain with light-sheet fluorescence microscopy.

Michele Sorelli, Danila Di Meo, Samuel Bradley, Franco Cheli, Josephine Ramazzotti, Federica F Caria, Laura Perego, Christophe Destrieux, Patrick R Hof, Francesco S Pavone and 2 more

Abstract read
In one paragraph

Article in NeuroImage, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Michele SorelliEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy; Department of Information Engineering, University of Florence, Florence, Italy.
Danila Di MeoEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy; Department of Biology, University of Florence, Florence, Italy.
Samuel BradleyEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy.
Franco CheliEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy.
Josephine RamazzottiEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy.
Federica F CariaEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy.
Laura PeregoEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy.
Christophe DestrieuxUMR 1253, iBrain, Université de Tours, Inserm, Tours, France.
Patrick R HofNash Family Department of Neuroscience, Friedman Brain Institute, and Center for Discovery and Innovation, Icahn School of Medicine at Mount Sinai, New York, NY, 10019, USA.
Francesco S PavoneEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy; Department of Physics and Astronomy, University of Florence, Florence, Italy; National Research Council - National Institute of Optics (CNR-INO), Sesto Fiorentino, Italy.
Giacomo MazzamutoEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy; Department of Physics and Astronomy, University of Florence, Florence, Italy; National Research Council - National Institute of Optics (CNR-INO), Sesto Fiorentino, Italy. Electronic address: giacomo.mazzamuto@ino.cnr.it.
Irene CostantiniEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy; Department of Biology, University of Florence, Florence, Italy; National Research Council - National Institute of Optics (CNR-INO), Sesto Fiorentino, Italy.

Funding

Imaging and Analysis Techniques to Construct a Cell Census Atlas of the Human Brain Admin SupplementU01MH117023 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A, FISCHL, BRUCE · 2018 to 2022
$7.6M
BRAIN CONNECTS: Mapping Connectivity of the Human Brainstem in a Nuclear Coordinate SystemU01NS132181 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE, HOF, PATRICK R · 2023 to 2025
$4.2M
NIMH NIH HHS U01 MH117023NINDS NIH HHS U01 NS132181
6 · The paper itself

Abstract

The convoluted network of myelinated fibers that supports behavior, cognition, and sensory processing in the human brain is the source of its extraordinary complexity. Advancements in tissue optical clearing, 3D fluorescence microscopy, and automated image analysis have enabled unprecedented insights into the architecture of these networks. Here, we investigate the multiscale organization of myelinated fibers in human brain tissue from the brainstem, Broca's area, hippocampus, and primary visual cortex by exploiting a specific fiber staining method, light-sheet fluorescence microscopy (LSFM), and an advanced spatial orientation analysis tool. Using an optimized protocol that integrates tissue clearing with the lipophilic DiD probe to achieve uniform and deep myelinated fiber labeling, we generate micrometer-resolution volumetric reconstructions of multiple brain regions through an inverted LSFM. Automated image processing, employing unsupervised 3D multiscale Frangi filters, provides orientation distribution functions and local orientation dispersion maps. This enables precise characterization of the directionality of white matter bundles, linking mesoscopic structural properties to orientation details computed at the native micrometric resolution of the LSFM apparatus. The presented workflow illustrates a robust platform for large-scale, high-resolution brain mapping, which may facilitate the investigation of pathological alterations with unparalleled spatial resolution and, furthermore, the validation of other neuroimaging modalities.

Indexed as

BrainBrain MappingNerve Fibers, MyelinatedWhite MatterAdultFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMaleMicroscopy, Fluorescence

Identifiers

PMID41270845
PMCPMC12706767

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.