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Updated: Sep 28, 2025

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FishSizer: Software solution for efficiently measuring larval fish size.

Jeppe Have Rasmussen1,2, Marta Moyano1, Lee A Fuiman3

  • 1Center for Coastal Research University of Agder Kristiansand Norway.

Ecology and Evolution
|March 28, 2022
PubMed
Summary
This summary is machine-generated.

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This study introduces open-source software to semi-automate fish larvae measurements, reducing time and variability in marine ecology research. The tool significantly cuts down measurement time while maintaining accuracy.

Area of Science:

  • Marine Ecology
  • Ichthyology
  • Computational Biology

Background:

  • Accurate measurement of fish larvae length and depth is crucial for marine ecology and early life history studies.
  • Traditional manual measurement methods are time-consuming and prone to observer variability.
  • Existing software solutions may lack efficiency or introduce technical variability.

Purpose of the Study:

  • To develop an open-source software solution for semi-automating fish larvae measurements.
  • To reduce the time and technical variability associated with measuring fish larvae.
  • To provide a user-friendly tool for researchers in marine ecology.

Main Methods:

  • Developed open-source software utilizing contrast-based edge detection for image segmentation.
Keywords:
body sizeearly life stagegrowthlarvaemorphometricsopen‐source software

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  • Implemented algorithms to extract length and depth from segmented fish larvae images, accounting for curvature.
  • Designed a graphical user interface to streamline workflow and facilitate visual verification of measurements.

    • Main Results:

    • The software reduced measurement time by 66%-78% compared to commonly used methods.
    • 89% of images required no adjustment for length measurements, and 70% for depth measurements.
    • Visual inspection was the primary remaining workload, indicating high automation efficiency.

    Conclusions:

    • The developed software offers a significant improvement in efficiency for fish larvae morphometrics.
    • It minimizes inter- and intra-observer variability, enhancing data reliability.
    • This tool has the potential to save researchers considerable time and effort in marine ecological studies.