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In-Situ Plankton Imaging

In-Situ Plankton Imaging. www.bellamare-us.com info@bellamare-us.com (858) 578-8108. Charles Cousin, M.S. eng. President Bellamare, LLC. www.bellamare-us.com. What is Plankton?.

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In-Situ Plankton Imaging

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  1. In-Situ PlanktonImaging www.bellamare-us.com info@bellamare-us.com (858) 578-8108 Charles Cousin, M.S. eng. President Bellamare, LLC

  2. www.bellamare-us.com What is Plankton? Much of the living matter in the ocean is plankton - small animals, plants, and microbes that drift passively with currents. Among them are permanent members of the plankton, called holoplankton (krill, copepods, salps, etc.), and temporary members (such as most larvae), which are called meroplankton. An example of Holoplankton: Copepods, a critical link in the food chain. An example of Meroplankton is the Ichtyoplankton category. They are the eggs and larvae of fish found mainly in the upper 200 meters of the water column. To date, we manufacture 200m rated ISIIS-1 and ISIIS-2 ROTVs ISIIS means “In-Situ Ichthyoplankton Imaging System”

  3. Plankton?! Really… Why do we study Plankton? • Plankton is the bottom of the ocean’sFood Chain No plankton, no fish, no whales…. • It is also a very important part of theCarbon Cycle. • Climate Change:since plankton is not harvested or exploited by humans, adjustments in distribution and abundance can be attributed to changing environmental factors. • Fish Stocks:the abundance of eggs and larvae of several species has been demonstrated to be a good indicator of population abundance of adults. • Pollution:for species that aren’t captured by a fishery, monitoring their population trends by monitoring their eggs or larvae can provide an indication of a healthy or stressed ecosystem.

  4. Traditional Techniques • Mostly Net Fishing! • Hard work & lots of microscope time… • 2 days at sea = 1 man-year of microscope work!

  5. Imaging is a modern solution Oceanography Paradigm Physical & Chemical oceanography rely mainly on High Speed Digital Output instruments while Biological oceanography relies on net sampling… • Imaging Techniques provide great data for great monitoring • Locate precise position and time of each organism • Inform about spatial and vertical distribution of critters (fine-scale distributions of plankton from centimeter- to basin- wide volumes) • Environmental data of the organisms’ surroundings are sampled in sync. • Imaging does not destroy organisms - easier to recognize! The sky is the limit… If high data analysis of collected images is feasible, we can increase sampling frequency which leads to better monitoring and leads to a greater capacity for improved scientific inquiries.

  6. Why has it not been done? • Well, it has been done! • BUT the challenge is: To provide an instrument able to sample large amounts of water AT ONCE to adequately quantify a broader range of plankton species. Solution ISIIS Imaging Systems

  7. The Cowen Laboratory ISIIS Optical System Well Controlled Optical System: Shadowgraph BIG, REALLYBIG Depth of Field & High Resolution Line Scan Camera (2048 pixel line scanning at 35Khz) Continuousimaging with 70 micron resolution80 MB/sec imaging data transfer rate Scanning Rate: Approx. 162 Liters/second since we tow at 5 knots.Volume sampled is equivalent to a 1m x 1m plankton net opening Water Flow Light Imaging area Water Flow Line Scan Camera

  8. Video • San Diego: NOAA’s Bell. M Shimada leg • Images taken from 20m to 180m, diving down • Focus on jelly fish larvae

  9. ISIIS-2 ROTV SYSTEM • A novel Remotely Operated Towed Vehicle, designed to: • Carry the Optical System payload in undisturbed waters • Navigate on Auto-Pilot (programmed profiles, auto-depth, altitude-cruise) Off the Side Towing Payload is an under-carriage

  10. ISIIS-2 ROTV SYSTEM

  11. ISIIS-1 ROTV SYTEM • Custom Order to be delivered in 5 months • Half the Size • Same imaging capabilities than ISIIS-2 • Passive Tow

  12. What we want to do… Short Term Small towed sled (small boat)Coastal constructions impact on the environment. Mooring Buoys SolutionLong term monitoring Long Term ROV & AUV Skid

  13. Automated Image Analysis? A demo within the end of the year? Yes, this is THE goal We already know how to segment ROIs & are making great steps towards Recognition and Classification. The Approach We are developing features set based on:Solidity computation, hierarchy of image moments, 2D-contour description, overall feature selection and its potential hierarchy, scaling (feature weights participating in distance computation) Our Strength:The ability to use Support-Vector-Machines clustering in a very non linear feature space thanks to the use of a very novel hardware approach.

  14. Thank You!

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