Length, width, shape regularity, and chain structure: time series analysis of phytoplankton morphology from imagery.

ABSTRACT: Functional traits are increasingly used to assess changes in phytoplankton community structure and to link individual characteristics to ecosystem functioning. However, they are usually inferred from taxonomic identification or manually measured for each organism, both time consuming approaches. Instead, we focus on high throughput imaging to describe the main temporal variations of morphological changes of phytoplankton in Narragansett Bay, a coastal time-series station. We analyzed a 2-yr dataset of morphological features automatically extracted from continuous imaging of individual phytoplankton images (~ 105 million images collected by an Imaging FlowCytobot). We identified synthetic morphological traits using multivariate analysis and revealed that morphological variations were mainly

SUBMITTER: Sonnet V 

PROVIDER: S-EPMC9546331 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature