A submersible imaging‐in‐flow instrument to analyze nano‐and microplankton: Imaging FlowCytobot
442 citations recorded by the source corpus.
Subfields: Ecology, Ocean Engineering, Oceanography
View Paper: https://www.semanticscholar.org/paper/81fc58f29f46e685f0918aeacd1316691b954843
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Citations in the corpus
- Remote, subsurface detection of the algal toxin domoic acid onboard the Environmental Sample Processor: Assay development and field trials (2009, background): “Over the past decade, a global effort has been made to address this impediment, leading to development of the first instruments capable of generating real- or near real-time data for certain harmful algal (HA) species (Babin et al., 2005; Olson and Sosik, 2007; Paul et al., 2007; Scholin et al., 200”
- Automated taxonomic classification of phytoplankton sampled with imaging‐in‐flow cytometry (2007, methodology): “To complement Flow-Cytobot, we have now developed Imaging FlowCytobot (Olson and Sosik 2007), designed to sample natural assemblages of phytoplankton (and microzooplankton) in the size range ~10 to 100 μ m.”
- Advancing Marine Biological Observations and Data Requirements of the Complementary Essential Ocean Variables (EOVs) and Essential Biodiversity Variables (EBVs) Frameworks (2018, methodology): “The Video Plankton Recorder (VPR; Davis et al., 1992), Optical Plankton Recorder, and Imaging FlowCytoBot (Olson and Sosik, 2007; Sosik and Olson, 2007) are examples of submersible microscopes used to collect video or images of small organisms, cells, and particles.”
- Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning (2016, methodology): “Recently, imaging-based technologies [1] have been developed to automatically capture plankton images continuously using underwater image sensors.”
- Diversity and Ecology of Eukaryotic Marine Phytoplankton (2012, background): “These goals can only be achieved through multidisciplinary research involving strong taxonomic expertise and the development of high throughput microscopy and automatic molecular and imaging tools (Olson & Sosik, 2007; Preston et al., 2011).”