PhytoNumb3rs: An easy-to-use computer toolkit for counting microalgae by the Utermohl method

被引：1

作者：

Vadrucci, Maria Rosaria ^{[1
]}

Roselli, Leonilde ^{[1
]}

Castelluccia, Daniela ^{[1
]}

Di Festa, Tiziana ^{[1
]}

Donadei, Daniela ^{[1
]}

Florio, Marisa ^{[1
]}

Longo, Emanuela ^{[1
]}

D'Arpa, Stefania ^{[1
]}

Maci, Flavia ^{[1
]}

Ranieri, Sergio ^{[1
]}

Spinelli, Mariangela ^{[1
]}

Pastorelli, Annamaria ^{[1
]}

Ungaro, Nicola ^{[1
]}

机构：

[1] Reg Agcy Environm Prevent & Protect ARPA Puglia, Corso Trieste 27, Bari, Italy

来源：

ECOLOGICAL INFORMATICS | 2018年 / 46卷

关键词：

Phytoplankton uncertainty; Quantitative detection limit; Counting strategy; Toolkit for counting;

D O I：

10.1016/j.ecoinf.2018.06.007

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Phytoplankton is recognised as a biological quality element and a biological descriptor in European Directives (WFD, MSFD) and several national laws. To determine the biodiversity and abundance of phytoplankton assemblages, the Utermohl method, using an inverted light microscope, is the most widely used. Nevertheless, the Utermohl method, standardised as UNI EN 15204 (2006), is time-consuming and labour intensive. We developed and tested PhytoNumb3rs, a tool for supporting microscope-based analysis of phytoplankton. PhytoNumb3rs is designed to make cell density calculation easier and to take account of qualitative and quantitative aspects regarding data precision, bias and method sensitivity. Specifically, it makes it possible to assess the performance characteristics of single analyses. PhytoNumb3rs is a user-friendly computing system based on a combination of Excels spreadsheets. It allows the user to count phytoplankton cells, at various magnifications using various counting strategies, and to obtain the relative cell density, uncertainty and detection limit for each taxon. PhytoNumb3rs enables analysts to adopt a suitable counting strategy, run the analyses and easily perform all the steps associated with conventional microscope-based phytoplankton procedures (counting, data entry, computation, and data storage in a structured database). It allows the user to calculate the performance characteristics associated with the analytical results in accordance with UNI EN 15204 (2006) quality control procedures. Finally, it represents a useful tool for data harmonisation and data standardisation which in turn, are needed in order to increase the quality, comparability and accessibility of intra- and inter-laboratory data over time.

引用

页码：147 / 155

页数：9