ArticleScientific reports2014
Label-free characterization of emerging human neuronal networks.
Article in Scientific reports, 2014. 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 25 papers.
What it found
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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.
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.
Who cites it
25 citing papers in PubMed, 71 citations in OpenAlex.
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- Circadian Volume Changes in Hippocampal Glia Studied by Label-Free Interferometric Imaging.Cells · 2022Article
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- Synthetic aperture interference light (SAIL) microscopy for high-throughput label-free imaging.Applied physics letters · 2021Article
- Label-free monitoring of 3D cortical neuronal growthBiomedical optics express · 2021Article
- Spatial light interference microscopy: principle and applications to biomedicine.Advances in optics and photonics · 2021Article
- Computational interference microscopy enabled by deep learning.APL photonics · 2021Article
- Variational Hilbert Quantitative Phase Imaging.Scientific reports · 2020Article
- Label-free optical imaging in developmental biology [Invited].Biomedical optics express · 2020Review
- Light scattering methods for tissue diagnosis.Optica · 2019Article
- Human Neural Stem Cell Extracellular Vesicles Improve Recovery in a Porcine Model of Ischemic Stroke.Stroke · 2018Article
- Measurements of complex refractive index change of photoactive yellow protein over a wide wavelength range using hyperspectral quantitative phase imaging.Scientific reports · 2018Article
- Real-time halo correction in phase contrast imaging.Biomedical optics express · 2018Article
- 3D-Printed pHEMA Materials for Topographical and Biochemical Modulation of Dorsal Root Ganglion Cell Response.ACS applied materials & interfaces · 2017Article
- Quantitative assessment of neural outgrowth using spatial light interference microscopy.Journal of biomedical optics · 2017Article
- Halo-free Phase Contrast Microscopy.Scientific reports · 2017Article
- Label-free, multi-scale imaging of ex-vivo mouse brain using spatial light interference microscopy.Scientific reports · 2016Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
The emergent self-organization of a neuronal network in a developing nervous system is the result of a remarkably orchestrated process involving a multitude of chemical, mechanical and electrical signals. Little is known about the dynamic behavior of a developing network (especially in a human model) primarily due to a lack of practical and non-invasive methods to measure and quantify the process. Here we demonstrate that by using a novel optical interferometric technique, we can non-invasively measure several fundamental properties of neural networks from the sub-cellular to the cell population level. We applied this method to quantify network formation in human stem cell derived neurons and show for the first time, correlations between trends in the growth, transport, and spatial organization of such a system. Quantifying the fundamental behavior of such cell lines without compromising their viability may provide an important new tool in future longitudinal studies.
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Registered trials
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.