Journals / Turkish Journal of Veterinary and Animal Sciences / 2014 / Cilt: 38 - Sayı: 1

Comparison of manual measurements and computer-assisted image analysis in fish morphometry

Pages
88–94
Publication Date
2014-05-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Only testing of intraresearcher relative bias using LUCIA showed no significant difference.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Fish usually have a simple body shape and many morphological characters can be easily obtained by 2-dimensional image analysis.
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Key Findings & Data:Here we report the comparison of manual measurements using Proma 150D digital calipers and computer-assisted image analysis in LUCIA software to evaluate the accuracy of both methods and the suitability of digital images for exploration of fish morphology.
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Conclusion & Impact:Only testing of intraresearcher relative bias using LUCIA showed no significant difference.
🔬Design:Research Article
📍Scope:20 specimens
⚙️Variables:Key words: Variation · digital caliper · ichthyology

Abstract

Fish usually have a simple body shape and many morphological characters can be easily obtained by 2-dimensional image analysis. Measuring errors are often analyzed using data from several researchers or repeated measurements, but the testing of accuracy and repeatability based on different methods has rarely been examined. Here we report the comparison of manual measurements using Proma 150D digital calipers and computer-assisted image analysis in LUCIA software to evaluate the accuracy of both methods and the suitability of digital images for exploration of fish morphology. Eighteen morphometric characters of 20 specimens of Prussian carp were examined by 2 researchers. The mean of the relative bias within and between researchers separately for the manual and computer-assisted methods (expressed as a percentage of a character's value) varied from -4.27% to 9.48%. Comparison of interresearcher results using digital caliper, interresearcher results using LUCIA, intraresearcher results using digital caliper, and the 2 methods using manual caliper and LUCIA revealed significant differences in several characters. Only testing of intraresearcher relative bias using LUCIA showed no significant difference.

Özet

Fish usually have a simple body shape and many morphological characters can be easily obtained by 2-dimensional image analysis. Measuring errors are often analyzed using data from several researchers or repeated measurements, but the testing of accuracy and repeatability based on different methods has rarely been examined. Here we report the comparison of manual measurements using Proma 150D digital calipers and computer-assisted image analysis in LUCIA software to evaluate the accuracy of both methods and the suitability of digital images for exploration of fish morphology. Eighteen morphometric characters of 20 specimens of Prussian carp were examined by 2 researchers. The mean of the relative bias within and between researchers separately for the manual and computer-assisted methods (expressed as a percentage of a character's value) varied from -4.27% to 9.48%. Comparison of interresearcher results using digital caliper, interresearcher results using LUCIA, intraresearcher results using digital caliper, and the 2 methods using manual caliper and LUCIA revealed significant differences in several characters. Only testing of intraresearcher relative bias using LUCIA showed no significant difference.

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Cite This Article

PETRTYL, M., KALOUS, L., MEMİŞ, D. (2014). Comparison of manual measurements and computer-assisted image analysis in fish morphometry. Turkish Journal of Veterinary and Animal Sciences, Cilt: 38 - Sayı: 1, 88–94. https://ajindex.com/articles/121704

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References (10)

  1. Holčík J, Hensel K. Ichtyologická príručka. Bratislava, Czechoslovakia: Obzor, 1972 (book in Slovak). Chaput GJ, Leblanc CH, Bourque C. Evaluation of an electronic fish measuring board. ICES J Mar Sci 1992; 49: 335–339.
  2. Armstrong MC, Nagtegaal DA, Boutillier JA. Microcomputerbased measuring device for collecting biological data. Prog Fish-Cult 1989; 51: 47–51. Sigler MF. An electronic measuring board with bar codes. T A Fish Soc 1993; 123: 115–117.
  3. Ovredal JT, Totland B. The scantrol FishMeter for recording fish length, weight and biological data. Fish Res 2002; 55: 325–328.
  4. Roitberg ES, Orlova VF, Kuranova VN, Bulakhova NA, Zinenko OI, Ljubisavljevic K, Shamgunova RR, Carretero MA, Clasen A, Fokt M et al. Inter-researcher and intra-researcher differences in measuring body length: a test in the common lizard, Zootoca vivipara. Amphibia-Reptilia 2011; 32: 477–484. Mazurová E, Zukal J, Jurajda P. Methodical notes to morphometric studies in ichthyology. In: 5th Czech Conference of Ichthyology, Brno, 2002: 108–113. Billy AJ. The effects of formalin and isopropyl alcohol on length and weight measurements of Sarotherodon mossambicus Trewavas. J Fish Biol 1982; 21: 107–112.
  5. Murphy BR, Willis DW. Fisheries Techniques. 2nd ed. Bethesda, MD, USA: American Fisheries Society, 1996.
  6. Neave FB, Mandrak NE, Docker MF, Noakes DL. Effects of preservation on pigmentation and length measurements in larval lampreys. J Fish Biol 2006; 68: 991–1001. Sagnes P. Potential artefacts in morphometric analyses of fish: effects of formalin preservation on 0+ grayling. J Fish Biol 1997; 50: 910–914. Quinonez-Velazquez C. Shrinkage of haddock larvae Melanogrammus aeglefinus Linnaeus (1758) preserved in ethanol. Cienc Mar 1996; 22: 1–8.
  7. Thorstad EB, Finstad AG, Jensen AJ, Museth J, Naesje TF, Saksgard LM. To what extent does ethanol and freezing preservation cause shrinkage of juvenile Atlantic salmon and European minnow? Fisheries Manag Ecol 2007; 14: 295–298.
  8. Adams DC, Rohlf FJ, Slice DE. Geometric morphometrics: ten years of progress following the ‘revolution’. Ital J Zool 2004; 71: 5– Bookstein FL. Morphometric Tools for Landmark Data: Geometry and Biology. Cambridge, UK: Cambridge University Press, 1991.
  9. Zelditch M, Swiderski D, Sheets DH, Fink WL. Geometric Morphometrics for Biologists: A Primer. San Diego, CA, USA: Elsevier Academic Press, 2004.
  10. Arnqvist G, Martensson T. Measurement error in geometric morphometrics: empirical strategies to assess and reduce its impact on measures of