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Related Experiment Video

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Assessment of Swim Endurance and Swim Behavior in Adult Zebrafish
09:36

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Published on: November 12, 2021

A versatile aquatics facility inventory system with real-time barcode scan entry.

Jennifer L Anderson1, Michelle L Macurak, Marnie E Halpern

  • 1Department of Embryology, Carnegie Institution for Science, Baltimore, Maryland 21218, USA. anderson@ciwemb.edu

Zebrafish
|September 30, 2010
PubMed
Summary
This summary is machine-generated.

A new inventory system manages zebrafish (Danio rerio) stock, husbandry, and usage data. This versatile database uses barcode scanning for real-time data entry, enhancing zebrafish facility management.

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Area of Science:

  • Animal research
  • Database management
  • Aquatic model organisms

Background:

  • Model organism research requires robust data management for animal maintenance and usage.
  • Efficiently tracking zebrafish (Danio rerio) stocks, husbandry, and experimental use is crucial for reproducibility.

Purpose of the Study:

  • To develop a comprehensive inventory system for zebrafish research facilities.
  • To streamline data recording and archiving of fish stocks, tank organization, husbandry, and usage.

Main Methods:

  • Developed a relational database using FileMaker Pro®.
  • Incorporated detailed tables for fish identity, lineage, location, phenotypes, and mortality.
  • Implemented barcode scanning for real-time data entry of actions like tank movement, breeding, and mortality recording.

Main Results:

  • The database effectively records and archives diverse zebrafish data, including genetic information and experimental procedures.
  • Barcode scanning significantly enhances the efficiency and accuracy of data input.
  • The system generates preformatted reports and labels for stock identification and tank management.

Conclusions:

  • A versatile, multipurpose inventory system was created for zebrafish facilities.
  • The database can be personalized and adapted for other model systems and data archival needs.
  • This system improves organization and accessibility of critical research data.