Clustering of high-throughput flow-cytometry data
Identification of phytoplankton species
Description
Flow cytometry (FC) devices count and measure cells in fluids in an automated procedure. We examine and develop computational methods for the identification of different phytoplankton species on the basis of FC measurements.
Key data
Projectlead
Project team
Dr. Stefan Glüge, Thomas Niederberger
Project partners
Eidgenössische Anstalt für Wasserversorgung, Abwasserreinigung und Gewässerschutz eawag
Project status
completed, 10/2012 - 12/2014
Institute/Centre
Institute of Computational Life Sciences (ICLS); School of Life Sciences and Facility Management
Funding partner
Internal
School of Life Sciences and Facility Management
Schloss
8820 Wädenswil