Evidence map›Paper›PMID 30381424›Full record

ReviewThe Journal of neuroscience : the official journal of the Society for Neuroscience2018

Whole-Brain Analysis of Cells and Circuits by Tissue Clearing and Light-Sheet Microscopy.

Tomoyuki Mano, Alexandre Albanese, Hans-Ulrich Dodt, Ali Erturk, Viviana Gradinaru, Jennifer B Treweek, Atsushi Miyawaki, Kwanghun Chung, Hiroki R Ueda

Abstract readReview
In one paragraph

Review in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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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

9 authors.

Tomoyuki ManoDepartment of Information Physics and Computing, Graduate School of Information Science and Technology.
Alexandre AlbaneseInstitute for Medical Engineering and Science.ORCID 0000-0001-7093-574X
Hans-Ulrich DodtDepartment of Bioelectronics, Vienna University of Technology, FKE, 1040 Vienna, Austria.ORCID 0000-0002-9784-9689
Ali ErturkInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilians University of Munich, 80539 Munich, Germany.ORCID 0000-0001-5163-5100
Viviana GradinaruDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, 91125.ORCID 0000-0001-5868-348X
Jennifer B TreweekDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, 91125.
Atsushi MiyawakiLaboratory for Cell Function and Dynamics, Center for Brain Science.
Kwanghun ChungInstitute for Medical Engineering and Science, uedah-tky@umin.ac.jp khchung@mit.edu.
Hiroki R UedaInternational Research Center for Neurointelligence, UTIAS, uedah-tky@umin.ac.jp khchung@mit.edu.ORCID 0000-0001-8342-9176

Funding

Proteome-Driven Holistic Reconstruction of Organ-Wide Multi-Scale NetworksDP2ES027992 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CHUNG, KWANGHUN · 2016 to 2021
$2.8M
Austrian Science Fund FWF P 28338NIEHS NIH HHS DP2 ES027992
6 · The paper itself

Abstract

In this photo essay, we present a sampling of technologies from laboratories at the forefront of whole-brain clearing and imaging for high-resolution analysis of cell populations and neuronal circuits. The data presented here were provided for the eponymous Mini-Symposium presented at the Society for Neuroscience's 2018 annual meeting.

Indexed as

NeuronsAnimalsBrainHumansImaging, Three-DimensionalMicroscopyMicroscopy, ConfocalMicroscopy, FluorescenceNerve Net

Identifiers

PMID30381424
PMCPMC6706004

What OpenQuestion holds

Textmetadata
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.