Western Channel Observatory

NERC National Capability of the Plymouth Marine Laboratory and Marine Biological Association

PML

FlowCam enumeration of live microplankton

Flowcam montage

The FlowCam (Yokogawa Fluid Imaging Technologies Inc.) is an automated imaging instrument which combines flow cytometry, microscopy and digital imagery to enumerate, identify and estimate biovolume of live plankton in situ and can also be used to process preserved plankton samples in the laboratory (Sieracki et al.1998). Equipped with different flow cell objectives (x2, x4, x10 and x20) FlowCam can capture images of plankton with a wide range of cell dimensions from >4 μm to <1 mm and can rapidly obtain information on morphometrics and concentration of individual particles.


Fine mesh vertical net hauls have been collected regularly at Station L4 since 2012. The finer mesh (63 μm) net provides a better representation of the abundant and smaller metazoans as well as larger microplankton and compliments the established time series of phytoplankton and zooplankton which began in 1992 and 1988 respectively. Live net samples collected weekly are analysed within a few hours of collection using a FlowCam VS-IV fitted with a 300 μm flow cell and a x4 objective. Analyses are run using auto-image mode and approximately 10,000 images are captured per analysis. Stored images are currently manually identified and sorted into taxonomic categories. However, we are currently developing deep learning techniques to automate the various steps involved in species classification which can otherwise be very time consuming.


FlowCam has also been used to analyse discrete water samples collected at 4-6 depths throughout the water column to determine microplankton abundance (Cornwell et al. 2020).


For more details or enquiries about FlowCam, please contact Elaine Fileman ese@pml.ac.uk


Cornwell L.E., E.S. Fileman, J.T. Bruun, A.G. Hirst, G.A. Tarran, H.S. Findlay, C Lewis, T.J. Smyth, A.J. McEvoy, A. Atkinson (2020). Resilience of the copepod Oithona similis to climatic variability: egg production, mortality, and vertical habitat partitioning. Frontiers in Marine Science https://doi.org/10.3389/fmars.2020.00029


Kerr, T., J. R. Clark, E. S. Fileman, C. E. Widdicombe and N. Pugeault (2020). Collaborative Deep Learning Models to Handle Class Imbalance in FlowCam Plankton Imagery. IEEE Access, vol. 8, pp. 170013-170032 doi: 10.1109/ACCESS.2020.3022242.


Sieracki, C. K., M. E. Sieracki and C. S. Yentsch (1998). An imaging-in-flow system for automated analysis of marine microplankton. Marine Ecology Progress Series 168:285-296

About Us

The WCO is a partnership between the Plymouth Marine Laboratory and the Marine Biological Association.

How are we funded?

The core work of the WCO is funded as part of the UK Natural Environment Research Council's National Capability.

Contact Information

For more details about the WCO please contact:

Dr Tim Smyth
Western Channel Observatory
Plymouth Marine Laboratory
Prospect Place
Plymouth
Devon
PL1 3DH
email: tjsm@pml.ac.uk