Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton

Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton

Abstract Background Phytoplankton species identification and counting is a crucial step of water quality assessment. Especially drinking water reservoirs, bathing and ballast water need to be regularly monitored for harmful species. In times of multiple environmental threats like eutrophication, cli...

Full description

Bibliographic Details
Main Authors: Susanne Dunker, David Boho, Jana Wäldchen, Patrick Mäder
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Ecology
Subjects:
Imaging flow cytometry
Phytoplankton
Morphology
Deep learning
CNN
Images
Online Access:http://link.springer.com/article/10.1186/s12898-018-0209-5

Internet

http://link.springer.com/article/10.1186/s12898-018-0209-5

Similar Items