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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Zebrabase: An Intuitive Tracking Solution for Aquatic Model Organisms.

Jana Oltova1, Jindrich Jindrich2,3, Ctibor Skuta2

  • 11 Department of Cell Differentiation, Institute of Molecular Genetics AS CR v.v.i. , Prague, Czech Republic .

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Summary
This summary is machine-generated.

Zebrabase is a new aquatic species tracking database designed for fish research facilities. This scalable platform offers intuitive management, reporting, and QR code labeling for improved organization and communication.

Keywords:
DjangoPythonfacility databasehusbandrytrackingzebrafish

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Area of Science:

  • Aquatic animal research
  • Laboratory animal management
  • Bioinformatics

Background:

  • Small fish models like zebrafish and medaka are popular alternatives to rodents in research.
  • Current tracking options for aquatic species in research facilities are limited.
  • Efficient management systems are crucial for maintaining organized animal records.

Purpose of the Study:

  • To develop a practical and scalable aquatic species tracking database for fish research facilities.
  • To provide an intuitive platform for scientists, managers, and caretakers.
  • To improve organization, reporting, and communication within research facilities.

Main Methods:

  • Development of a cross-platform database named Zebrabase.
  • Implementation of sophisticated tracking, reporting, and management functions.
  • Inclusion of user roles, QR code functionality, and interactive breeding history.
  • Personalization of rooms and racks with advanced statistics and reporting.

Main Results:

  • Zebrabase provides a centralized and organized system for animal records.
  • The database facilitates streamlined communication between facilities and researchers.
  • Features like QR code labeling and interactive breeding history accelerate processes.
  • User roles and customizable access ensure data security and functional hierarchy.

Conclusions:

  • Zebrabase offers a scalable and intuitive solution for aquatic species tracking in research.
  • The platform enhances efficiency in managing fish populations, breeding, and reporting.
  • Zebrabase can be adapted for various aquatic model organisms, improving overall facility management.