Evidence map›Paper›PMID 24898000›Full record

ArticleNature communications2014

Hybrid multiphoton volumetric functional imaging of large-scale bioengineered neuronal networks.

Hod Dana, Anat Marom, Shir Paluch, Roman Dvorkin, Inbar Brosh, Shy Shoham

Abstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Light-field deep learning enables high-throughput, scattering-mitigated calcium imaging.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  9. Human mini-brain models.Nature biomedical engineering · 2021
    Review
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  19. Volumetric CaCell · 2019
    Article
  20. 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.

Hod Dana *Department of Biomedical Engineering, Technion, Haifa 32000, Israel.
Anat Marom *Department of Biomedical Engineering, Technion, Haifa 32000, Israel.
Shir PaluchDepartment of Biomedical Engineering, Technion, Haifa 32000, Israel.
Roman DvorkinFaculty of Medicine and Network Biology Research Laboratories. Technion, Haifa 32000, Israel.
Inbar BroshDepartment of Biomedical Engineering, Technion, Haifa 32000, Israel.
Shy ShohamDepartment of Biomedical Engineering, Technion, Haifa 32000, Israel.

Funding

European Research Council 211055Howard Hughes Medical Institute
6 · The paper itself

Abstract

Planar neural networks and interfaces serve as versatile in vitro models of central nervous system physiology, but adaptations of related methods to three dimensions (3D) have met with limited success. Here, we demonstrate for the first time volumetric functional imaging in a bioengineered neural tissue growing in a transparent hydrogel with cortical cellular and synaptic densities, by introducing complementary new developments in nonlinear microscopy and neural tissue engineering. Our system uses a novel hybrid multiphoton microscope design combining a 3D scanning-line temporal-focusing subsystem and a conventional laser-scanning multiphoton microscope to provide functional and structural volumetric imaging capabilities: dense microscopic 3D sampling at tens of volumes per second of structures with mm-scale dimensions containing a network of over 1,000 developing cells with complex spontaneous activity patterns. These developments open new opportunities for large-scale neuronal interfacing and for applications of 3D engineered networks ranging from basic neuroscience to the screening of neuroactive substances.

Indexed as

Tissue EngineeringAnimalsCells, CulturedCerebral CortexFunctional NeuroimagingImaging, Three-DimensionalIn Vitro TechniquesMicroscopy, Fluorescence, MultiphotonModels, NeurologicalNerve NetNeuronsRats

Identifiers

PMID24898000
PMCPMC4113029

What OpenQuestion holds

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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.