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FishSizer: Software solution for efficiently measuring larval fish size

1. Length and depth of fish larvae are part of the fundamental measurements in many marine ecology studies involving early fish life history. Until now, obtaining these measurements has required intensive manual labor and the risk of inter‐ and intra‐observer variability. 2. We developed an open‐sou...

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Autores principales: Rasmussen, Jeppe Have, Moyano, Marta, Fuiman, Lee A., Oomen, Rebekah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928902/
https://www.ncbi.nlm.nih.gov/pubmed/35342596
http://dx.doi.org/10.1002/ece3.8672
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author Rasmussen, Jeppe Have
Moyano, Marta
Fuiman, Lee A.
Oomen, Rebekah A.
author_facet Rasmussen, Jeppe Have
Moyano, Marta
Fuiman, Lee A.
Oomen, Rebekah A.
author_sort Rasmussen, Jeppe Have
collection PubMed
description 1. Length and depth of fish larvae are part of the fundamental measurements in many marine ecology studies involving early fish life history. Until now, obtaining these measurements has required intensive manual labor and the risk of inter‐ and intra‐observer variability. 2. We developed an open‐source software solution to semi‐automate the measurement process and thereby reduce both time consumption and technical variability. Using contrast‐based edge detection, the software segments images of a fish larva into “larva” and “background.” Length and depth are extracted from the “larva” segmentation while taking curvature of the larva into consideration. The graphical user interface optimizes workflow and ease of usage, thereby reducing time consumption for both training and analysis. The software allows for visual verification of all measurements. 3. A comparison of measurement methods on a set of larva images showed that this software reduces measurement time by 66%–78% relative to commonly used software. 4. Using this software instead of the commonly used manual approach has the potential to save researchers from many hours of monotonous work. No adjustment was necessary for 89% of the images regarding length (70% for depth). Hence, the only workload on most images was the visual inspection. As the visual inspection and manual dimension extraction works in the same way as currently used software, we expect no loss in accuracy.
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spelling pubmed-89289022022-03-24 FishSizer: Software solution for efficiently measuring larval fish size Rasmussen, Jeppe Have Moyano, Marta Fuiman, Lee A. Oomen, Rebekah A. Ecol Evol Research Articles 1. Length and depth of fish larvae are part of the fundamental measurements in many marine ecology studies involving early fish life history. Until now, obtaining these measurements has required intensive manual labor and the risk of inter‐ and intra‐observer variability. 2. We developed an open‐source software solution to semi‐automate the measurement process and thereby reduce both time consumption and technical variability. Using contrast‐based edge detection, the software segments images of a fish larva into “larva” and “background.” Length and depth are extracted from the “larva” segmentation while taking curvature of the larva into consideration. The graphical user interface optimizes workflow and ease of usage, thereby reducing time consumption for both training and analysis. The software allows for visual verification of all measurements. 3. A comparison of measurement methods on a set of larva images showed that this software reduces measurement time by 66%–78% relative to commonly used software. 4. Using this software instead of the commonly used manual approach has the potential to save researchers from many hours of monotonous work. No adjustment was necessary for 89% of the images regarding length (70% for depth). Hence, the only workload on most images was the visual inspection. As the visual inspection and manual dimension extraction works in the same way as currently used software, we expect no loss in accuracy. John Wiley and Sons Inc. 2022-03-06 /pmc/articles/PMC8928902/ /pubmed/35342596 http://dx.doi.org/10.1002/ece3.8672 Text en © 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Rasmussen, Jeppe Have
Moyano, Marta
Fuiman, Lee A.
Oomen, Rebekah A.
FishSizer: Software solution for efficiently measuring larval fish size
title FishSizer: Software solution for efficiently measuring larval fish size
title_full FishSizer: Software solution for efficiently measuring larval fish size
title_fullStr FishSizer: Software solution for efficiently measuring larval fish size
title_full_unstemmed FishSizer: Software solution for efficiently measuring larval fish size
title_short FishSizer: Software solution for efficiently measuring larval fish size
title_sort fishsizer: software solution for efficiently measuring larval fish size
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928902/
https://www.ncbi.nlm.nih.gov/pubmed/35342596
http://dx.doi.org/10.1002/ece3.8672
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