Semi-Automated IFCB Analysis
Samples are run through an Imaging FlowCytobot (IFCB, McLane Research Labs) which captures images of particles as they pass through a flow-cell. Algal images are then identified using an automated classifier. Images and image counts are used to provide estimates of algal concentration and biovolume. Live algal samples provide the best results, but we will also accept samples preserved in glutaraldehyde. IFCB data is semi-quantitative; this method has the most utility comparing dominant taxa groups, functional classes, and thresholds of critical water quality indicators.
How to Ship Live Samples for IFCB Analysis