Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT

User menu

Search

  • Advanced search
eNeuro
eNeuro

Advanced Search

 

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT
PreviousNext
Research ArticleOpen Source Tools and Methods, Novel Tools and Methods

3D-Printed Capacitive Sensor Objects for Object Recognition Assays

Kasey P. Spry, Sydney A. Fry, Jemma M.S. DeFillip, S. Griffin Drye, Korey D. Stevanovic, James Hunnicutt, Briana J. Bernstein, Eric E. Thompson and Jesse D. Cushman
eNeuro 14 January 2021, 8 (1) ENEURO.0310-20.2020; https://doi.org/10.1523/ENEURO.0310-20.2020
Kasey P. Spry
1North Carolina State University, Raleigh, NC 27695
2Neurobehavioral Core Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Kasey P. Spry
Sydney A. Fry
2Neurobehavioral Core Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sydney A. Fry
Jemma M.S. DeFillip
2Neurobehavioral Core Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jemma M.S. DeFillip
S. Griffin Drye
1North Carolina State University, Raleigh, NC 27695
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Korey D. Stevanovic
2Neurobehavioral Core Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
James Hunnicutt
3Fabrication and Repair Studio, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Briana J. Bernstein
2Neurobehavioral Core Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Briana J. Bernstein
Eric E. Thompson
2Neurobehavioral Core Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jesse D. Cushman
2Neurobehavioral Core Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jesse D. Cushman
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Extended Data
  • Figure1
    • Download figure
    • Open in new tab
    • Download powerpoint
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    CapTouch overview. A, Diagram of basic CapTouch system setup with Bare Conductive capacitive sensing board and breadboard. B, Basic novel object recognition workflow.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    CapTouch 1.0 NOR results and validation. A, Diagram of CapTouch 1.0 objects spiral (right) and sphere (left). B, Object placement during NOR experiment. C, Cross-sectional view and diagram of wire attachment to the base. D, Percent investigation between the spiral and sphere object during the object preference test (±SEM). E, Percent investigation between the novel and familiar object with a 10-min delay during the NOR experiment. Two mice were excluded from the novel object recognition results because of CapTouch sensing malfunction (±SEM). F, Percent investigation between the novel and familiar object with a 24-h delay during the NOR experiment (±SEM). G, Discrimination index comparing investigation between the novel and familiar objects for the 10-min delay (p = 0.0013 relative to chance) and the 24-h delay (p = 0.0165 relative to chance) NOR experiments. H, Correlation of object investigation duration (seconds) during the object preference test and both the familiarization and test days of the NOR test between capacitive touch sensing and manual scoring (R2 = 0.9162, p < 0.001; see Extended Data Figure 2-1 for further validation with an additional manual scorer). I, 30-s example of capacitive touch triggering compared with manual scoring. For additional validation analysis, see Extended Data Figure 2-2.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    CapTouch 2.0 validation. A, Diagram of CapTouch 2.0 objects swirl (left) and cone (right). B, Object placement during system validation experiment. C, Cross-sectional view of hollow objects and diagram of wire attached to base. D, Correlation of object investigation duration (seconds) for both familiarization and test days between capacitive touch sensing and manual scoring (R2 = 0.9767, p < 0.0001; see Extended Data Figure 3-1 for validation of an additional manual scorer). Because of low interaction from some of the mice during the CapTouch 2.0 validation experiment, two highly interactive mice were run through an additional trial during the familiarization and test phases to acquire more interaction data. One object during a trial had a CapTouch sensing malfunction and was not included in the validation correlation. E, 30-s example of capacitive touch triggering compared with manual scoring.

Tables

  • Figures
  • Extended Data
    • View popup
    Table 1

    Component list for CapTouch 1.0

    ComponentQuantitySupplierPart
    number
    Price
    Touch board1Bare ConductiveNA$49.91 (list price: $62.39)
    Electric paint 10 ml1Bare ConductiveNA$11.04
    Perma-proto half-sized breadboard PCB-single1Adafruit1609$4.50
    Proto-pasta conductive PLA- 1.75 mm (0.5 kg)1MatterHackersMUW33A27$49.99 (list price: $56.00)
    RJ45 8-pin connector1 per touch boardSparkFunPRT-00643$1.50
    Short headers kit for feather-12- pin + 16-pin
    female headers
    2 per touch boardAdafruit2940$1.50
    Solid-core wire spool-25 ft- 22AWG1Adafruit290$2.95
    Magnet-1/2” diameter × 1/10” thick1 per objectK&J MagneticsD8H1$0.83
    Diffused 5-mm LED (25 pack)1Adafruit299$4.00
    USB-IO box1NoldusNA$1535.00
    Ethernet cable1 per touch boardAdafruit994$2.75
    USB cable-USB A to micro-B-3 foot long1 per touch boardAdafruit592$2.95
    Resistor-10 KΩ -pack of 252 per touch boardAdafruit2784$0.75
    • CapTouch 1.0 list of build components needed for the system. The component name, number needed, supplier, part number, and price are provided.

    • View popup
    Table 2

    Component list for CapTouch 2.0

    ComponentQuantitySupplierPart NumberPrice
    Flexfill 98A Powder Beige filament 500 g1Prusa ResearchFLM-FLX-175-PBG-98A$33.99
    Flexfill 98A luminous green filament 500 g1Prusa ResearchFLM-FLX-175-GRN-98A$33.99
    PETG Prusa orange filament 1 kg1Prusa ResearchPRM-PETG-PRO-1000$29.99
    Touch board1Bare ConductiveNA$49.91 (list price: $62.39)
    Solid-core wire spool-25 ft- 22AWG1Adafruit290$2.95
    Perma-proto half-sized breadboard
    PCB-single
    1Adafruit1609$4.50
    RJ45 8-pin connector1 per touch boardSparkFunPRT-00643$1.50
    Short headers kit for feather-12-pin +
    16-pin female headers
    2 per touch boardAdafruit2940$1.50
    Diffused 5-mm LED (25 pack)1Adafruit299$4.00
    USB-IO box1NoldusNA$1535.00
    Ethernet cable1 per touch boardAdafruit994$2.75
    USB cable-USB A to micro-B- 3 foot long1 per touch boardAdafruit592$2.95
    Resistor-10 KΩ2 per touch boardAdafruit2784$0.75
    Copper foil tape with conductive
    adhesive-25 mm × 15 m roll
    1Adafruit1127$19.95
    • CapTouch 2.0 list of build components needed for the system. The component name, number needed, supplier, part number, and price are provided.

Extended Data

  • Figures
  • Tables
  • Extended Data Figure 2-1

    A, Correlation of object investigation duration (seconds) between capacitive touch sensing and an additional manual scorer (R2 = 0.9167, p < 0.0001). B, Comparison of manual scorers correlated against each other (R2 = 0.9950, p < 0.0001). Download Figure 2-1, PDF file.

  • Extended Data Figure 2-2

    A, Histogram of time between object interactions (inter-interaction interval) for capacitive sensing (mean = 13.9 ± 2.7s) and manual scoring (mean = 17.3 ± 1.7 s) for the CapTouch 1.0 experiments (i > 0.05, moody test). B, Violin plot of interinteraction intervals for capacitive sensing and manual scoring for the CapTouch 1.0 experiments. Download Figure 2-2, PDF file.

  • Extended Data Figure 3-1

    A, Correlation of object investigation duration (seconds) between capacitive touch sensing and an additional manual scorer (R2 = 0.9313, p < 0.0001). B, Correlation of manual scorers against each other (R2 = 0.9642, p < 0.0001). Download Figure 3-1, PDF file.

Back to top

In this issue

eneuro: 8 (1)
eNeuro
Vol. 8, Issue 1
January/February 2021
  • Table of Contents
  • Index by author
  • Ed Board (PDF)
Email

Thank you for sharing this eNeuro article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
3D-Printed Capacitive Sensor Objects for Object Recognition Assays
(Your Name) has forwarded a page to you from eNeuro
(Your Name) thought you would be interested in this article in eNeuro.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
3D-Printed Capacitive Sensor Objects for Object Recognition Assays
Kasey P. Spry, Sydney A. Fry, Jemma M.S. DeFillip, S. Griffin Drye, Korey D. Stevanovic, James Hunnicutt, Briana J. Bernstein, Eric E. Thompson, Jesse D. Cushman
eNeuro 14 January 2021, 8 (1) ENEURO.0310-20.2020; DOI: 10.1523/ENEURO.0310-20.2020

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
3D-Printed Capacitive Sensor Objects for Object Recognition Assays
Kasey P. Spry, Sydney A. Fry, Jemma M.S. DeFillip, S. Griffin Drye, Korey D. Stevanovic, James Hunnicutt, Briana J. Bernstein, Eric E. Thompson, Jesse D. Cushman
eNeuro 14 January 2021, 8 (1) ENEURO.0310-20.2020; DOI: 10.1523/ENEURO.0310-20.2020
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Visual Abstract
    • Abstract
    • Significance Statement
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
    • Synthesis
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • 3D printing
  • capacitive
  • object recognition
  • open source
  • rodent

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

Open Source Tools and Methods

  • Low-Cost 3D-Printed Mazes with Open-Source ML Tracking for Mouse Behavior
  • A Preclinical Alcohol Biobank: Samples from Behaviorally Characterized HS Rats for AUD Research
  • Track-A-Worm 2.0: A Software Suite for Quantifying Properties of C. elegans Locomotion, Bending, Sleep, and Action Potentials
Show more Open Source Tools and Methods

Novel Tools and Methods

  • Development of a modified weight-drop apparatus for closed-skull, repetitive mild traumatic brain injuries in a mouse model
  • Combination of averaged bregma-interaural and electrophysiology-guided technique improves subthalamic nucleus targeting accuracy in rats
  • Open Data In Neurophysiology: Advancements, Solutions & Challenges
Show more Novel Tools and Methods

Subjects

  • Novel Tools and Methods
  • Open Source Tools and Methods
  • Home
  • Alerts
  • Follow SFN on BlueSky
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Latest Articles
  • Issue Archive
  • Blog
  • Browse by Topic

Information

  • For Authors
  • For the Media

About

  • About the Journal
  • Editorial Board
  • Privacy Notice
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2025 by the Society for Neuroscience.
eNeuro eISSN: 2373-2822

The ideas and opinions expressed in eNeuro do not necessarily reflect those of SfN or the eNeuro Editorial Board. Publication of an advertisement or other product mention in eNeuro should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in eNeuro.