PlanktoMetrix – a computerized system to support microscope counts and measurements of plankton

Abstract We developed a computerized image-analysis system, PlanktoMetrix, the first system to conduct all steps of conventional microscope-based phytoplankton and zooplankton analyses (counting, measuring sizes, entering data, computations, storage in database) simultaneously using real-time digital imaging. The microscope field that displays the sample is continuously scanned by a digital camera and screened on a computer monitor, on which cell counts and measurements of linear dimensions are made by mouse clicks. When the microscope tasks are completed, computations of species abundances, estimates of biovolume per individual, species biomass per unit volume, and total assemblage biomass concentration are made automatically and stored into a database. All raw and computed data are exportable to common spreadsheet platforms. PlanktoMetrix offers the production of high-quality data in less time, with lower user fatigue and fewer typing errors; therefore, more time can be devoted to data analysis rather than generation. Furthermore, PlanktoMetrix allows collecting organism size data regularly, thus offering plankton ecologists a tool for following seasonal, ontogenetic, and other well-documented but generally ignored changes in plankton size and morphology. An example of PlanktoMetrix-generated cell size time series shows that the dinoflagellate Peridiniopsis elpatiewskyi undergoes a distinct annual cycle with larger cells in winter and smaller cells in summer. PlanktoMetrix is distributed free to interested users and will likely be available in the future as an open-source platform.

[1]  K. Hambright,et al.  Incorporating molecular tools into routine HAB monitoring programs: Using qPCR to track invasive Prymnesium , 2012 .

[2]  B. Beanlands,et al.  The next generation of Optical Plankton Counter: the Laser-OPC , 2004 .

[3]  W. G. Sprules,et al.  A microcomputer-based measuring device for biological research , 1981 .

[4]  Jean-Pierre Descy,et al.  Estimating phytoplankton carbon from microscopic counts: an application for riverine systems , 2000, Hydrobiologia.

[5]  K. Hambright Long-term zooplankton body size and species changes in a subtropical lake: implications for lake management , 2008 .

[6]  P. Hamilton The revised edition of a computerized plankton counter for plankton, periphyton and sediment diatom analyses , 1990, Hydrobiologia.

[7]  Helmut Hillebrand,et al.  BIOVOLUME CALCULATION FOR PELAGIC AND BENTHIC MICROALGAE , 1999 .

[8]  H. Utermöhl Zur Vervollkommnung der quantitativen Phytoplankton-Methodik , 1958 .

[9]  J. Lund,et al.  The inverted microscope method of estimating algal numbers and the statistical basis of estimations by counting , 1958, Hydrobiologia.

[10]  J. Stockwell,et al.  Calibration of an optical plankton counter for use in fresh water , 1998 .

[11]  S. Corbet,et al.  Freshwater Biology , 1971, Nature.

[12]  A Computer‐assisted Plankton Analysis System for the Macintosh , 1994 .

[13]  A. Penna,et al.  Detection and Identification of Toxic Microalgae by the Use of Innovative Molecular Methods , 2014 .

[14]  David A. Culver,et al.  Biomass of Freshwater Crustacean Zooplankton from Length–Weight Regressions , 1985 .

[15]  T. Zohary,et al.  Microzooplankton dominate carbon flow and nutrient cycling in a warm subtropical freshwater lake , 2007 .

[16]  J. H. Larson,et al.  An experimental analysis of harmful algae–zooplankton interactions and the ultimate defense , 2011 .

[17]  E. Rott,et al.  Some results from phytoplankton counting intercalibrations , 1981, Schweizerische Zeitschrift für Hydrologie.