[HTML][HTML] State of knowledge on early warning tools for cyanobacteria detection

H Almuhtaram, FA Kibuye, S Ajjampur, CM Glover… - Ecological …, 2021 - Elsevier
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 …

Imaging flow cytometry for phytoplankton analysis

V Dashkova, D Malashenkov, N Poulton, I Vorobjev… - Methods, 2017 - Elsevier
This review highlights the concepts and instrumentation of imaging flow cytometry
technology and in particular its use for phytoplankton analysis. Imaging flow cytometry, a …

Flow cytometry pulse width data enables rapid and sensitive estimation of biomass dry weight in the microalgae Chlamydomonas reinhardtii and Chlorella vulgaris

M Chioccioli, B Hankamer, IL Ross - PloS one, 2014 - journals.plos.org
Dry weight biomass is an important parameter in algaculture. Direct measurement requires
weighing milligram quantities of dried biomass, which is problematic for small volume …

Routine determination of plankton community composition and size structure: a comparison between FlowCAM and light microscopy

E Álvarez, M Moyano, Á López-Urrutia… - Journal of plankton …, 2014 - academic.oup.com
Samples from a monthly monitoring programme in the Cantabrian Sea were analysed with a
FlowCAM-based automated technique. The estimates of abundance, biomass size spectra …

Reporting of methods for automated devices: A systematic review and recommendation for studies using FlowCam for phytoplankton

BM Owen, CS Hallett, JJ Cosgrove… - Limnology and …, 2022 - Wiley Online Library
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 …

Applications of machine learning in Chemical and Biological Oceanography

B Sadaiappan, P Balakrishnan, V CR, NT Vijayan… - ACS …, 2023 - ACS Publications
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 …

A survey for the applications of content-based microscopic image analysis in microorganism classification domains

C Li, K Wang, N Xu - Artificial Intelligence Review, 2019 - Springer
Microorganisms such as protozoa and bacteria play very important roles in many practical
domains, like agriculture, industry and medicine. To explore functions of different categories …

[HTML][HTML] The Western Channel Observatory: a century of physical, chemical and biological data compiled from pelagic and benthic habitats in the western English …

AJ McEvoy, A Atkinson, RL Airs… - Earth System …, 2023 - essd.copernicus.org
Abstract The Western Channel Observatory (WCO) comprises a series of pelagic, benthic
and atmospheric sampling sites within 40 km of Plymouth, UK, that have been sampled by …

Comparison of FlowCAM and microscope biovolume measurements for a diverse freshwater phytoplankton community

AR Hrycik, A Shambaugh… - Journal of Plankton …, 2019 - academic.oup.com
FlowCAM combines flow cytometry and imaging to rapidly enumerate, classify and measure
particles. The instrument potentially increases processing speed of phytoplankton samples …

Validation methods for plankton image classification systems

P González, E Álvarez, J Díez… - Limnology and …, 2017 - Wiley Online Library
In recent decades, the automatic study and analysis of plankton communities using imaging
techniques has advanced significantly. The effectiveness of these automated systems …