SeaFlow is an underway flow cytometer created at UW by Jarred Swalwell that is designed to measure continuously the abundance and composition of phytoplankton populations, making it possible to analyze the equivalent of one sample every three minutes. The instrument collects information about the size and pigment content of an individual cell and counts several thousands cells every second. The instrument utilizes light scattering and autofluorescence properties of individual cells to discriminate and quantify different cell populations that span 0.5-10 micrometer in size (Swalwell et al. 2011). The instrument is semi-autonomous and can be controlled remotely via satellite connection.
SeaFlow project team members
- Ginger Armbrust (Principal Investigator)
- Francois Ribalet (Co-Investigator)
- Chris Berthiaume (Software Engineer)
- Annette Hynes (Research Scientist)
- Mattias Cape (Postdoctoral Research Associate)
popcycle - an R package that analyzing continuous flow cytometry data from SeaFlow repository. The software is built to perform both coarse real-time data analysis and fine-tuned population clustering analysis.
seaflowpy - Python libraries and scripts to complement
ssPopModel - an R package that uses size-structured matrix population model to estimate hourly division rates of microbial populations from SeaFlow data. These estimates are independent of variations in cell abundance and can be used to study physiologically-driven changes in population dynamics.
Prototype SeaFlow (June 2008)
First-generation SeaFlow (August 2009)
SeaFlow on the UW research vessel (April 2010)
SeaFlow on a container ship (Oocl Tokyo) (January 2011)