Download SeaFlow data v1

Zenodo

The data set consists of SeaFlow-based cell abundance, cell size (Equivalent Spherical Diameter), cellular carbon content and total carbon biomass for small-sized phytoplankton populations, namely the cyanobacteria Prochlorococcus, Synechococcus and Crocosphaera (2-5 um), and unidentified protists (< 5 μm ESD), collected during oceanographic cruises since 2010 in the North Pacific Ocean. See data description at Scientifc Data: Nature Publishing Group for more information.

Flow Cytometry Data to Unravel Phytoplankton Growth and Turnover Rates

Since 2010, our custom-built continuous flow cytometer, SeaFlow, has been deployed on nearly 100 research cruises to collect per cell fluorescence and light scatter data for approximately 800 billion phytoplankton cells less than 5 micron in size.

Meet the Team

Current Members

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François Ribalet

Principal Research Scientist

Population Modeling, Microbial Ecology, Oceanography, Flow Cytometry

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Baker van Buren

Undergraduate student

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Chris Berthiaume

Software Developer

Compute Infrastructure, Software Analysis Tools, Reproducible Research

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Cristian Swift

Undergraduate student

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Kelsy Cain

Research Assistant

Flow Cytometry, Bacteria, Phytoplankton, Field Research

Alumni

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Annette Hynes

Research Scientist

Phytoplankton, Ecology, Diversity, Mathematical Modeling

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Corinne Jones

PhD Candidate in Statistics

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Denise Anne Devlyn

Undergraduate student

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Jordan Winter

Undergraduate student

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Kristof Glauninger

PhD Candidate in Statistics

Error Estimation, Causal Inference

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Mattias Cape

Postdoctoral Research Associate

Phytoplankton Ecology, Polar Oceanography, Ice-Ocean Interactions, Ocean Optics, Experiential Education

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SeaFlow v1

Continuous shipboard flow cytometer

Meet the instrument

The SeaFlow instrument is a shipboard underway flow cytometer that provides continuous multi-parameter single particle measurements without the need for clean water. The instrument eliminates the traditional need for a sheath fluid by employing a unique optical system that relies on three photodetectors to create a virtual core in the sample stream within which the properties of particles are accurately measured. In this way, the instrument is able to collect the equivalent of 1 sample every 3 minutes or every 1 km (for a ship moving at 10 knots) from the ship’s flow-through seawater system. See article for more information.”

The SeaFlow instrument was developed by Jarred Swalwell at the University of Washington, feel free to contact him with any questions related to the SeaFlow instrument and technologies.

Software

flowMix

Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions. In this project led by Dr. Sangwon Hyun, we apply a sparse mixture of multivariate regressions model for flow cytometry data.

Matrix Population Model

A size-structured matrix population model to estimate rates of cell division, carbon fixation and carbon loss in phytoplankton measured by flow cytometry.

CytoSegmenter

A Kernel-based change detection method to map shifts in phytoplankton communities measured by flow cytometry. In this project in collaboration with Dr.

Popcycle

Popcycle is an R package that offers a reproducible approach to process, calibrate and curate flow cytometry data measured by SeaFlow.

seaflowpy

A Python package for SeaFlow flow cytometer data, available on Gihub. Seaflowpy A Python package for SeaFlow flow cytometer data.

Contact

  • ribalet@uw.edu
  • Ocean Sciences Building, 1492 NE Boat St, Seattle, WA 98105
  • Office 304