Evidence map›Paper›PMID 31896771›Full record

ReviewNature reviews. Neuroscience2020

Tissue clearing and its applications in neuroscience.

Hiroki R Ueda, Ali Ertürk, Kwanghun Chung, Viviana Gradinaru, Alain Chédotal, Pavel Tomancak, Philipp J Keller

Erratum issuedAbstract readReview
In one paragraph

Review in Nature reviews. Neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 280 papers.

0numbers the graph read from it
0cells of the map it votes in
280citing 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

280 citing papers in PubMed.

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220 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Hiroki R UedaDepartment of Systems Pharmacology, University of Tokyo, Tokyo, Japan. uedah-tky@umin.ac.jp.ORCID http://orcid.org/0000-0001-8342-9176
Ali ErtürkInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilian University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-5163-5100
Kwanghun ChungInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-8167-3340
Viviana GradinaruDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-5868-348X
Alain ChédotalInstitut de la Vision, Sorbonne Université, INSERM, CNRS, Paris, France.ORCID http://orcid.org/0000-0001-7577-3794
Pavel TomancakMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Philipp J KellerJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.ORCID http://orcid.org/0000-0003-2896-4920

Funding

Towards integrated 3D reconstruction of whole human brains at subcellular resolutionU01MH117072 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CHUNG, KWANGHUN · 2018 to 2022
$8.8M
Proteome-Driven Holistic Reconstruction of Organ-Wide Multi-Scale NetworksDP2ES027992 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CHUNG, KWANGHUN · 2016 to 2021
$2.8M
NIEHS NIH HHS DP2 ES027992NIMH NIH HHS U01 MH117072
6 · The paper itself

Abstract

State-of-the-art tissue-clearing methods provide subcellular-level optical access to intact tissues from individual organs and even to some entire mammals. When combined with light-sheet microscopy and automated approaches to image analysis, existing tissue-clearing methods can speed up and may reduce the cost of conventional histology by several orders of magnitude. In addition, tissue-clearing chemistry allows whole-organ antibody labelling, which can be applied even to thick human tissues. By combining the most powerful labelling, clearing, imaging and data-analysis tools, scientists are extracting structural and functional cellular and subcellular information on complex mammalian bodies and large human specimens at an accelerated pace. The rapid generation of terabyte-scale imaging data furthermore creates a high demand for efficient computational approaches that tackle challenges in large-scale data analysis and management. In this Review, we discuss how tissue-clearing methods could provide an unbiased, system-level view of mammalian bodies and human specimens and discuss future opportunities for the use of these methods in human neuroscience.

Indexed as

AnimalsHistological TechniquesHumansImaging, Three-DimensionalMammalsMicroscopyNervous SystemNeurosciences

Identifiers

PMID31896771
PMCPMC8121164

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.