2021
DOI: 10.1111/are.15202
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Finding the needle in the haystack: Comparison of methods for salmon louse enumeration in plankton samples

Abstract: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Cited by 9 publications
(14 citation statements)
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References 50 publications
(77 reference statements)
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“…The issue has prompted the search for alternative adequate monitoring methods, ideally providing results in real time to be able to immediately introduce suitable actions to prevent large scale salmon lice invasion and infection. In a recent study [ 49 ] none of available methods passed the comparative test of salmon louse enumeration in plankton samples. These included visual-based -fluorescence microscopy and automated fluid imaging and molecular-based—droplet digital PCR (ddPCR), quantitative fraction PCR and qPCR.…”
Section: Discussionmentioning
confidence: 99%
“…The issue has prompted the search for alternative adequate monitoring methods, ideally providing results in real time to be able to immediately introduce suitable actions to prevent large scale salmon lice invasion and infection. In a recent study [ 49 ] none of available methods passed the comparative test of salmon louse enumeration in plankton samples. These included visual-based -fluorescence microscopy and automated fluid imaging and molecular-based—droplet digital PCR (ddPCR), quantitative fraction PCR and qPCR.…”
Section: Discussionmentioning
confidence: 99%
“…The fluorescence-aided method for rapid identification of salmon lice can provide results at 82% accuracy, using far less time, effort and resources than alternative methods. In a comparison of lice enumerating methods, Bui et al (2021) found light microscopy to be 86% accurate and it took 87 min to process each sample which contained no more than 1531 total animals. Here, the samples contained an average of 11,600 animals and if including the processing time took 31 min to enumerate.…”
Section: Accuracy and Enumeration Timementioning
confidence: 99%
“…Finding planktonic salmon lice within a zooplankton assemblage is a needle in a haystack problem and the traditional method is too labour‐intensive for most endeavours. Bui et al (2021) explored several alternative methods for identification and enumeration including some molecular techniques but found limited success in terms of throughput, accuracy and cost. Although one of the attempted methods utilized fluorescence, the filter wavelengths chosen followed work done by Fordyce (2017) for which the range of filters available was limited.…”
Section: Introductionmentioning
confidence: 99%
“…The negative signal was due to fluorescence of chlorophyll consumed by the grazing zooplankters in contrast to the non-feeding L. salmonis. A negative signal might be useful in an automated process as argued by Nielsen et al (2019), but it would not be useful in enumerating animals via a fluorescence modification of traditional light microscopy methods in which the animal must standout against the darkfield (as described by Bui et al, 2020). Thus, wavelengths above 600 nm, where chlorophyll fluoresces, were not examined here and the spectrum section analysis identified the wavelengths with greatest positive peak intensity distance.…”
Section: Spectrum Section Analysis Of Eem Measurementsmentioning
confidence: 99%
“…Since identifying and enumerating planktonic L. salmonis stages in a zooplankton sample are a laborious task, several methodologies have been employed to that effect, with mixed results (Bui et al, 2020). Amongst them, fluorescence microscopy has been shown to increase the visibility of L. salmonis copepodids in comparison with other species (Bui et al, 2020;Fordyce, 2017). However, the reliability of the fluorescence signal has not been investigated nor has the optimal method been described in detail.…”
Section: Introductionmentioning
confidence: 99%