Evidence map›Paper›PMID 28523281›Full record

ArticleNeurophotonics2017

Imaging membrane potential changes from dendritic spines using computer-generated holography.

Dimitrii Tanese, Ju-Yun Weng, Valeria Zampini, Vincent De Sars, Marco Canepari, Balazs Rozsa, Valentina Emiliani, Dejan Zecevic

Open access · bronzeAbstract read
In one paragraph

Article in Neurophotonics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. 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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  16. Improvements in Simultaneous Sodium and Calcium Imaging.Frontiers in cellular neuroscience · 2018
    Article
  17. Review
  18. Article
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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

8 authors at 4 institutions in 3 countries.

Dimitrii TaneseParis Descartes University, Neurophotonics Laboratory, CNRS UMR8250, Paris, France.
Ju-Yun WengYale University School of Medicine, Department of Cellular and Molecular Physiology, New Haven, Connecticut, United States.
Valeria ZampiniParis Descartes University, Neurophotonics Laboratory, CNRS UMR8250, Paris, France.
Vincent De SarsParis Descartes University, Neurophotonics Laboratory, CNRS UMR8250, Paris, France.
Marco CanepariUniversité Grenoble Alpes and CNRS, Laboratory for Interdisciplinary Physics, UMR 5588, Saint Martin d'Hères, France.
Balazs RozsaInstitute of Experimental Medicine of the Hungarian Academy of Sciences, Budapest, Hungary.
Valentina EmilianiParis Descartes University, Neurophotonics Laboratory, CNRS UMR8250, Paris, France.
Dejan ZecevicYale University School of Medicine, Department of Cellular and Molecular Physiology, New Haven, Connecticut, United States.
Centre National de la Recherche Scientifique · FRNeurophotonics Laboratory · FRYale University · USHungarian Academy of Sciences · HU

Funding

New approaches for better protein voltage sensorsU01NS099691 · NINDS · YALE UNIVERSITY · PI COHEN, LAWRENCE B · 2016 to 2018
$2.1M
Electrical role of dendritic spinesR01MH106906 · NIMH · YALE UNIVERSITY · PI ZECEVIC, DEJAN P · 2015 to 2019
$2.0M
NIMH NIH HHS R01 MH106906NINDS NIH HHS U01 NS099691
6 · The paper itself

Abstract

Electrical properties of neuronal processes are extraordinarily complex, dynamic, and, in the general case, impossible to predict in the absence of detailed measurements. To obtain such a measurement one would, ideally, like to be able to monitor electrical subthreshold events as they travel from synapses on distal dendrites and summate at particular locations to initiate action potentials. It is now possible to carry out these measurements at the scale of individual dendritic spines using voltage imaging. In these measurements, the voltage-sensitive probes can be thought of as transmembrane voltmeters with a linear scale, which directly monitor electrical signals. Grinvald et al. were important early contributors to the methodology of voltage imaging, and they pioneered some of its significant results. We combined voltage imaging and glutamate uncaging using computer-generated holography. The results demonstrated that patterned illumination, by reducing the surface area of illuminated membrane, reduces photodynamic damage. Additionally, region-specific illumination practically eliminated the contamination of optical signals from individual spines by the scattered light from the parent dendrite. Finally, patterned illumination allowed one-photon uncaging of glutamate on multiple spines to be carried out in parallel with voltage imaging from the parent dendrite and neighboring spines.

Indexed as

dendritic spinesglutamate uncagingholographyvoltage imaging

Identifiers

PMID28523281
PMCPMC5428833
OpenAlexW2612146539

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.