Evidence map›Paper›PMID 35495216›Full record

ArticleHardwareX2020

Design and implementation of a low cost, modular, adaptable and open-source XYZ positioning system for neurophysiology.

Thomas Campbell, James F X Jones

Abstract read
In one paragraph

Article in HardwareX, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

2 authors.

Thomas CampbellSchool of Medicine, University College Dublin, Ireland.
James F X JonesSchool of Medicine, University College Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, open-source 3D printing technologies have become increasingly applied to biological research. We have created a fully open-source, versatile and low cost XYZ positioning system using 3D printer components. As this system is controlled by a Python3 based operating system running on a Raspberry Pi 3 Model B, its behaviour can be adapted to meet multiple needs in neurophysiology. We have developed two main applications of this system. First, we have created an automated microscopy script that links seamlessly with image stitching plugins in ImageJ (Fiji) allowing the user to create high resolution montages. Second, we have created a series of movement scripts allowing the application of graded rates of stretch to muscle spindles. Here we outline the construction and implementation of this system and discuss how we have utilised this tool in our research.

Indexed as

3D, Three DimensionalAC, Alternating CurrentArduinoAutomated microscopyCNC, Computed Numerical CodeDC, Direct CurrentEMI, Electromagnetic InterferenceFDM, Fused Deposition ModellingFFF, Fused Filament FabricationGPIO, General-Purpose Input/OutputIDE, Integrated Developer EnvironmentLCD, Liquid Crystal DisplayMechanotransductionNEMA17, National Electrical Manufacturers Association (stepper motor with faceplate dimensions of 1.7 × 1.7 in.)NeurophysiologyOpenCV, Open Computer VisionPLA, Polylactic AcidPVA, Polyvinyl AcetateRAMPS 1.4, Reprap Arduino Mega Pololu Shield (version 1.4)Raspberry PiSD Card, Secure Digital CardSTEM, Science, Technology, Engineering and MathematicsSTL, StereolithographyUSB, Universal Serial BusUTF-8, Unicode Transformation Format, 8-bit blocksVAT, Value Added TaxXYZ positioning system

Identifiers

PMID35495216
PMCPMC9041220

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.