Evidence map›Paper›PMID 25784873›Full record

ArticleFrontiers in neuroengineering2015

NeuroPG: open source software for optical pattern generation and data acquisition.

Benjamin W Avants, Daniel B Murphy, Joel A Dapello, Jacob T Robinson

Abstract read
In one paragraph

Article in Frontiers in neuroengineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. PyRhO: A Multiscale Optogenetics Simulation Platform.Frontiers in neuroinformatics · 2016
    Article
  7. Optogenetics, Tools and Applications in Neurobiology.Journal of medical signals and sensors
    Review
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

4 authors.

Benjamin W AvantsDepartment of Electrical and Computer Engineering, Rice University Houston, TX, USA.
Daniel B MurphyDepartment of Electrical and Computer Engineering, Rice University Houston, TX, USA.
Joel A DapelloHampshire College Amherst, MA, USA.
Jacob T RobinsonDepartment of Electrical and Computer Engineering, Rice University Houston, TX, USA ; Department of Bioengineering, Rice University Houston, TX, USA ; Department of Neuroscience, Baylor College of Medicine Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patterned illumination using a digital micromirror device (DMD) is a powerful tool for optogenetics. Compared to a scanning laser, DMDs are inexpensive and can easily create complex illumination patterns. Combining these complex spatiotemporal illumination patterns with optogenetics allows DMD-equipped microscopes to probe neural circuits by selectively manipulating the activity of many individual cells or many subcellular regions at the same time. To use DMDs to study neural activity, scientists must develop specialized software to coordinate optical stimulation patterns with the acquisition of electrophysiological and fluorescence data. To meet this growing need we have developed an open source optical pattern generation software for neuroscience-NeuroPG-that combines, DMD control, sample visualization, and data acquisition in one application. Built on a MATLAB platform, NeuroPG can also process, analyze, and visualize data. The software is designed specifically for the Mightex Polygon400; however, as an open source package, NeuroPG can be modified to incorporate any data acquisition, imaging, or illumination equipment that is compatible with MATLAB's Data Acquisition and Image Acquisition toolboxes.

Indexed as

DMDelectrophysiologyimagingoptogeneticspattern stimulationPolygon400software

Identifiers

PMID25784873
PMCPMC4345891

What OpenQuestion holds

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Registered trials

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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.