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Innovating Ocean Observations: Imaging FlowCytobot Development and In-Depth Status

Explore the Imaging FlowCytobot (IFCB) - a cutting-edge underwater microscope for phytoplankton analysis. Learn about its capabilities, early successes, and future applications supporting NOAA and state science needs.

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Innovating Ocean Observations: Imaging FlowCytobot Development and In-Depth Status

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  1. Marc Suddleson NOAA Ocean Service\NCCOS Center for Sponsored Coastal Ocean Research Quay Dortch, Contributor Gregory Doucette, Contributor NOS/NCCOS Jenifer Rhoades, Contributor NOS/IOOS July 27,2016 Imaging FlowCytobot (IFCB)

  2. Imaging FlowCytobot Development and Status NOS\NCCOS HAB Research IOOS Ocean Tech Transfer OAR Sea Grant M.I.T. & TX NMFS Saltonstall-Kennedy Active NOAA Program Investments Harmful algae Water quality New platforms (e.g. AUV) Offshore aquaculture Woods Hole Oceanographic Institution Texas A&M and U.C. Santa Cruz Texas State Departments of Health Services and Wildlife McLane Research Laboratories, Inc. Catalina Sea Ranch, LLC (new) Partnerships Universities, States, Companies IFCB Status • Continuous, autonomous ID & counts of phytoplankton, especially HABs • 10 yrs of shipboard, pier-based, and cabled underwater deployments • Data supporting NOAA and state science and management needs • First generation commercially available • New applications and next generation formats emerging

  3. Imaging FlowCytobot Description – An automated underwater microscope • Combines lab instruments in a “can” (microscope and flow cytometer) • Enables rapid ID and counting of micro-sized cells • Detects chlorophyll in cells to trigger phytoplankton images • Compiles images of cells in a 5 ml water sample, every 20 minutes. • Up to 30,000 high resolution cell images per hour possible. • Extended, unattended deployments (6+ months) • Software identifies species and counts cells as well as humans (Olson and Sosik 2007)

  4. Imaging FlowCytobot Early Successes –IFCB Deployments Support Monitoring, Forecasting & Early Warning Missions Harmful Algal Blooms, Water Quality, Ocean Observing, Aquaculture EcoMon (NMFS\CINAR) 6 San Francisco Bay (IOOS OTT) IFCB AV (IOOS OTT) Nauset Salt Marsh(Sea Grant) Martha’s Vineyard Observatory (NSF, ONR) Catalina Sea Ranch (NMFS) Current IFCB AUV (IOOS OTT) Pending Texas Coast(NCCOS PCMHAB)

  5. Imaging FlowCytobot Early Success #1 – Texas HAB Early Warning Reduces Harmful Algal BIoom Impacts • Efficient and Effective Shellfish Monitoring 7 HAB early warnings since 2007 • Confidence in Shellfish Product Safety No shellfish recalls since 2008. Dinophysis spp. Diarrhetic Shellfish Poisoning IFCB on UTMSI Pier, Port Aransas (L. Campbell) Karenia spp. Neurotoxic Shellfish Poisoning

  6. Imaging FlowCytobot Early Success #1 – Texas HAB Early Warning HAB Shellfish Harvesting Closures March 7-April 12, 2008 Oyster Festival in Fulton, TX March 7-9, 2008

  7. Imaging FlowCytobot Early Success #2 – Advancing IFCB for Ocean Observations In situ measurement of phytoplankton cells and toxins 2G ESP solar panels IFCB generator Credit: Brosnahan (WHOI) IFCB powered by solar panels and generator IFCB and 2G ESP in Nauset Marsh, Cape Cod Spring 2016

  8. Imaging FlowCytobot Future Directions - New Advances and Applications Staining IFCB - enhanced detection of protozoan taxa - live cell staining, targeting micrograzers Credit: Sosik (WHOI) Credit: Sosik (WHOI) IFCB for autonomous surface vehicles - enable spatial sampling Aquaculture Monitoring Program - add IFCB to Catalina Sea Ranch Ocean monitoring

  9. Imaging FlowCytobot Impacts/Benefits of Sustained Phytoplankton Observations Coastal Intelligence for NOAA Missions • Ecological Forecasting • Understand and Predict Change • Need for Operational HAB Observing System • Verify and Improve HAB Forecasts • Ecosystem Monitoring and Assessment • NOAA ecosystem fisheries surveys • Coastal Resilience • Determining ocean ecosystem responses to stressors (e.g. water quality)

  10. Imaging FlowCytobot IFCB Information & Resources • NOAA HAB Research Programs – HAB application development https://coastalscience.noaa.gov/research/habs/default • IOOS OTT Program – observing system sensor development https://ioos.noaa.gov/project/ocean-technology-transition/ • Dr. Heidi Sosik, WHOI – IFCB and application designer http://www.whoi.edu/sbl/liteSite.do?articleId=11906&litesiteid=7993 Olson, R.J. and H.M. Sosik.  2007.  A submersible imaging-in-flow instrument to analyze nano- and microplankton:  Imaging FlowCytobot.  Limnology and Oceanography: Methods.  5: 195-203.). • Dr. Lisa Campbell, Texas A&M – HAB early warning & ecology http://ocean.tamu.edu//people/faculty/campbelllisa • McLane Research Laboratories, Inc. – vendor, user support http://mclanelabs.com/ • IFCB Dashboard – publicly-available data http://ifcb-data.whoi.edu/

  11. Imaging FlowCytobot Acknowledgements/IFCB support

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