Tracking nemo: Help scientists understand zebrafish behavior

Tyrone J. Tolbert, Shinnosuke Nakayama, Maurizio Porfiri

Research output: Contribution to journalArticle

Abstract

The advent of automated tracking software has significantly reduced the time required to record movement trajectories, thereby facilitating behavioral studies of zebrafish. However, results are substantially influenced by tracking errors, such as loss and misidentification of individuals. In this study, we present the development of an online citizen science platform, Tracking Nemo, to improve data accuracy on swimming trajectories of zebrafish groups. As an online extension of software for tracking the position of zebrafish from video recordings, Tracking Nemo offers volunteers the opportunity to contribute to science by manually correcting tracked trajectory data from their personal computers. Researchers can upload their videos that require human intervention for correcting and validating the data. Citizen scientists can monitor their contributions through a leaderboard system, which is designed to strengthen participant retention and contribution by tapping into intrinsic and extrinsic motivations. Tracking Nemo is expected to help scientists improve data accuracy through the involvement of citizen scientists, who, in turn, engage in an authentic research activity and learn more about the behavior of zebrafish.

Original languageEnglish (US)
Pages (from-to)310-313
Number of pages4
JournalZebrafish
Volume15
Issue number3
DOIs
StatePublished - Jun 1 2018

Fingerprint

Zebrafish
Danio rerio
trajectories
Software
Video Recording
Microcomputers
volunteers
Volunteers
researchers
Research Personnel
monitoring
Research
Data Accuracy

Keywords

  • citizen science
  • motion tracking software
  • zebrafish

ASJC Scopus subject areas

  • Animal Science and Zoology
  • Developmental Biology

Cite this

Tracking nemo : Help scientists understand zebrafish behavior. / Tolbert, Tyrone J.; Nakayama, Shinnosuke; Porfiri, Maurizio.

In: Zebrafish, Vol. 15, No. 3, 01.06.2018, p. 310-313.

Research output: Contribution to journalArticle

Tolbert, Tyrone J. ; Nakayama, Shinnosuke ; Porfiri, Maurizio. / Tracking nemo : Help scientists understand zebrafish behavior. In: Zebrafish. 2018 ; Vol. 15, No. 3. pp. 310-313.
@article{0121ec8dc61847cab05904771530dfc7,
title = "Tracking nemo: Help scientists understand zebrafish behavior",
abstract = "The advent of automated tracking software has significantly reduced the time required to record movement trajectories, thereby facilitating behavioral studies of zebrafish. However, results are substantially influenced by tracking errors, such as loss and misidentification of individuals. In this study, we present the development of an online citizen science platform, Tracking Nemo, to improve data accuracy on swimming trajectories of zebrafish groups. As an online extension of software for tracking the position of zebrafish from video recordings, Tracking Nemo offers volunteers the opportunity to contribute to science by manually correcting tracked trajectory data from their personal computers. Researchers can upload their videos that require human intervention for correcting and validating the data. Citizen scientists can monitor their contributions through a leaderboard system, which is designed to strengthen participant retention and contribution by tapping into intrinsic and extrinsic motivations. Tracking Nemo is expected to help scientists improve data accuracy through the involvement of citizen scientists, who, in turn, engage in an authentic research activity and learn more about the behavior of zebrafish.",
keywords = "citizen science, motion tracking software, zebrafish",
author = "Tolbert, {Tyrone J.} and Shinnosuke Nakayama and Maurizio Porfiri",
year = "2018",
month = "6",
day = "1",
doi = "10.1089/zeb.2017.1542",
language = "English (US)",
volume = "15",
pages = "310--313",
journal = "Zebrafish",
issn = "1545-8547",
publisher = "Mary Ann Liebert Inc.",
number = "3",

}

TY - JOUR

T1 - Tracking nemo

T2 - Help scientists understand zebrafish behavior

AU - Tolbert, Tyrone J.

AU - Nakayama, Shinnosuke

AU - Porfiri, Maurizio

PY - 2018/6/1

Y1 - 2018/6/1

N2 - The advent of automated tracking software has significantly reduced the time required to record movement trajectories, thereby facilitating behavioral studies of zebrafish. However, results are substantially influenced by tracking errors, such as loss and misidentification of individuals. In this study, we present the development of an online citizen science platform, Tracking Nemo, to improve data accuracy on swimming trajectories of zebrafish groups. As an online extension of software for tracking the position of zebrafish from video recordings, Tracking Nemo offers volunteers the opportunity to contribute to science by manually correcting tracked trajectory data from their personal computers. Researchers can upload their videos that require human intervention for correcting and validating the data. Citizen scientists can monitor their contributions through a leaderboard system, which is designed to strengthen participant retention and contribution by tapping into intrinsic and extrinsic motivations. Tracking Nemo is expected to help scientists improve data accuracy through the involvement of citizen scientists, who, in turn, engage in an authentic research activity and learn more about the behavior of zebrafish.

AB - The advent of automated tracking software has significantly reduced the time required to record movement trajectories, thereby facilitating behavioral studies of zebrafish. However, results are substantially influenced by tracking errors, such as loss and misidentification of individuals. In this study, we present the development of an online citizen science platform, Tracking Nemo, to improve data accuracy on swimming trajectories of zebrafish groups. As an online extension of software for tracking the position of zebrafish from video recordings, Tracking Nemo offers volunteers the opportunity to contribute to science by manually correcting tracked trajectory data from their personal computers. Researchers can upload their videos that require human intervention for correcting and validating the data. Citizen scientists can monitor their contributions through a leaderboard system, which is designed to strengthen participant retention and contribution by tapping into intrinsic and extrinsic motivations. Tracking Nemo is expected to help scientists improve data accuracy through the involvement of citizen scientists, who, in turn, engage in an authentic research activity and learn more about the behavior of zebrafish.

KW - citizen science

KW - motion tracking software

KW - zebrafish

UR - http://www.scopus.com/inward/record.url?scp=85048238042&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85048238042&partnerID=8YFLogxK

U2 - 10.1089/zeb.2017.1542

DO - 10.1089/zeb.2017.1542

M3 - Article

C2 - 29470138

AN - SCOPUS:85048238042

VL - 15

SP - 310

EP - 313

JO - Zebrafish

JF - Zebrafish

SN - 1545-8547

IS - 3

ER -