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.
Population Modeling, Microbial Ecology, Oceanography, Flow Cytometry
Phytoplankton, Ecology, Diversity, Mathematical Modeling
Compute Infrastructure, Software Analysis Tools, Reproducible Research
Flow Cytometry, Bacteria, Phytoplankton, Field Research
Error Estimation, Causal Inference
Phytoplankton Ecology, Polar Oceanography, Ice-Ocean Interactions, Ocean Optics, Experiential Education
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.”
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.
A size-structured matrix population model to estimate rates of cell division, carbon fixation and carbon loss in phytoplankton measured by flow cytometry.
A Kernel-based change detection method to map shifts in phytoplankton communities measured by flow cytometry. In this project in collaboration with Dr.
Popcycle is an R package that offers a reproducible approach to process, calibrate and curate flow cytometry data measured by SeaFlow.