Evidence map›Paper›PMID 40627267›Full record

ArticleAnatomical science international2025

ht-MASH: a high-throughput, cost-effective, and robust protocol for microscopic 3D imaging of human angio- and cytoarchitecture in large human brain samples.

Sven Hildebrand, Johannes Franz, Shubharthi Sengupta, Anna Schueth, Andreas Herrler, Alard Roebroeck

Abstract read
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Article in Anatomical science international, 2025. 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.

Sven HildebrandDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University (UM), Maastricht, The Netherlands. sven.hildebrand@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0003-3783-8213
Johannes FranzDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University (UM), Maastricht, The Netherlands.
Shubharthi SenguptaDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University (UM), Maastricht, The Netherlands.
Anna SchuethDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University (UM), Maastricht, The Netherlands.
Andreas HerrlerDepartment of Anatomy and Embryology, Faculty of Health, Medicine, and Life Sciences, Maastricht University (UM), Maastricht, The Netherlands.
Alard RoebroeckDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University (UM), Maastricht, The Netherlands.

Funding

HORIZON EUROPE European Research Council 639938Nederlandse Organisatie voor Wetenschappelijk Onderzoek 14637
6 · The paper itself

Abstract

The performance of many optical tissue clearing protocols has considerably improved in the last few years, so that now even notoriously difficult specimen such as highly myelinated human brain tissue can be rendered highly transparent. However, optical tissue clearing is still routinely performed on relatively small samples, especially in the case of the human brain. Recent advances in histological tissue processing now allow scaling up the clearing process considerably towards much larger samples. Yet so far, these methods can have considerable drawbacks in their feasibility to be implemented routinely, especially in smaller laboratories. Here, we present an updated version of our MASH protocol, which allows optical tissue clearing of very large human brain tissue samples and labelling of angio- and cytoarchitecture therein. This pipeline is cost-efficient and easy to implement, so that even smaller labs can apply it at scale. At the same time, the use of rapid prototyping using 3D printing to create custom clearing equipment is versatile enough to be adjusted to other optical tissue clearing methods than the one used in this study (e.g., aqueous methods such as CUBIC or other solvent-based methods of the DISCO family), sample sizes or tissue types. Our pipeline has, therefore, the potential to advance optical tissue clearing and labelling of large human tissue samples towards a more robust and routine implementation in the blooming field of 3D histology.

Indexed as

BrainImaging, Three-DimensionalCost-Benefit AnalysisHumansPrinting, Three-Dimensional3D histologyAngioarchitectureCytoarchitectureHuman neocortexOptical tissue clearing

Identifiers

PMID40627267
PMCPMC12513950

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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.