Evidence map›Paper›PMID 38585744›Full record

ArticlebioRxiv : the preprint server for biology2025

Micron-resolution fiber mapping in histology independent of sample preparation.

Marios Georgiadis, Franca Auf der Heiden, Hamed Abbasi, Loes Ettema, Jeffrey Nirschl, Hossein Moein Taghavi, Moe Wakatsuki, Andy Liu, William Hai Dang Ho, Mackenzie Carlson and 10 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

20 authors.

Marios GeorgiadisDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-0733-4559
Franca Auf der HeidenInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich GmbH, Jülich, Germany.ORCID 0009-0002-7940-363X
Hamed AbbasiDepartment of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands.ORCID 0000-0003-0655-7187
Loes EttemaDepartment of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands.
Jeffrey NirschlDepartment of Pathology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-6857-341X
Hossein Moein TaghaviDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-8585-1634
Moe WakatsukiDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.
Andy LiuDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.
William Hai Dang HoDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-1365-9624
Mackenzie CarlsonDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-0857-3116
Michail DoukasDepartment of Pathology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Sjors A KoppesDepartment of Pathology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.ORCID 0000-0002-8833-531X
Stijn KeereweerDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.ORCID 0000-0003-4665-6868
Raymond A SobelDepartment of Pathology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-0477-9002
Kawin SetsompopDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-0455-7634
Congyu LiaoDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-2270-276X
Katrin AmuntsInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich GmbH, Jülich, Germany.ORCID 0000-0001-5828-0867
Markus AxerInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich GmbH, Jülich, Germany.ORCID 0000-0001-5871-9331
Michael ZeinehDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-6940-9096
Miriam MenzelDepartment of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands.ORCID 0000-0002-6042-7490

Funding

Iron as an Imaging Biomarker for Inflammation in ADR01AG061120 · NIA · STANFORD UNIVERSITY · PI ZEINEH, MICHAEL M · 2019 to 2023
$3.5M
Postnatal Development of Cortical Receptors and White Matter TractsR01MH092311 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WOODS, ROGER P · 2012 to 2016
$2.2M
NOVEL EXOSOME BIOMARKERS OF IRON PATHOLOGY IN ADR21AG072675 · NIA · STANFORD UNIVERSITY · PI DEMIRCI, UTKAN, ZEINEH, MICHAEL M · 2021 to 2021
$433k
Quantifying myelin degeneration in ADR03AG083702 · NIA · STANFORD UNIVERSITY · PI GEORGIADIS, MARIOS · 2024 to 2024
$305k
Toward translation of a novel PET probe for imaging innate immune function in Alzheimer's DiseaseF31AG077905 · NIA · STANFORD UNIVERSITY · PI CARLSON, MACKENZIE LEIGH · 2022 to 2022
$24k
NIA NIH HHS F31 AG077905NIA NIH HHS R01 AG061120NIA NIH HHS R03 AG083702NIA NIH HHS R21 AG072675NIMH NIH HHS R01 MH092311
6 · The paper itself

Abstract

Mapping the brain's fiber network is crucial for understanding its function and malfunction, but resolving nerve trajectories over large fields of view is challenging. Here, we show that computational scattered light imaging (ComSLI) can map fiber networks in histology independent of sample preparation, also in formalin-fixed paraffin-embedded (FFPE) tissues including whole human brain sections. We showcase this method in new and archived, animal and human brain sections, for different sample preparations (in paraffin, deparaffinized, various stains, unstained fresh-frozen). We convert microscopic orientations to microstructure-informed fiber orientation distributions (μFODs). Adapting tractography tools from diffusion magnetic resonance imaging (dMRI), we trace axonal trajectories revealing white and gray matter connectivity. These allow us to identify altered microstructure or deficient tracts in demyelinating or neurodegenerating pathology, and to show key advantages over dMRI, polarization microscopy, and structure tensor analysis. Finally, we map fibers in non-brain tissues, including muscle, bone, and blood vessels, unveiling the tissue's function. Our cost-effective, versatile approach enables micron-resolution studies of intricate fiber networks across tissues, species, diseases, and sample preparations, offering new dimensions to neuroscientific and biomedical research.

Identifiers

PMID38585744
PMCPMC10996646

What OpenQuestion holds

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Registered trials

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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.