Algae cells and algal organic matter (AOM) present in algae impacted source water pose a
serious threat to the safety of drinking water. Conventional water treatment processes poorly …

The potential for cyanobacterial blooms to impact recreational and drinking water source
quality is a growing concern. Numerous monitoring tools have been developed that can alert …

In this paper, two models for classification of microalgae species based on artificial neural
networks have been developed and validated. The models work in combination with …

Freshwater ecosystems harbor a vast diversity of micro-eukaryotes (rotifers, crustaceans and
protists), and such diverse taxonomic groups play important roles in ecosystem functioning …

This review highlights the concepts and instrumentation of imaging flow cytometry
technology and in particular its use for phytoplankton analysis. Imaging flow cytometry, a …

Accurate and detailed reporting of methods is essential for scientific progress, yet it is widely
accepted that authors across all scientific fields tend to provide insufficient methods detail …

Plankton ecologists ultimately focus on forecasting, both applied and environmental
outcomes. We review how appreciating planktonic ciliates has become central to these …

DNA metabarcoding is an efficient method for measuring biodiversity, but the process of
initiating long‐term DNA‐based monitoring programmes, or integrating with conventional …

The deep learning (DL) revolution is touching all scientific disciplines and corners of our
lives as a means of harnessing the power of big data. Marine ecology is no exception. New …

Machine learning (ML) refers to computer algorithms that predict a meaningful output or
categorize complex systems based on a large amount of data. ML is applied in various …