Automated Analysis of MOC streak-camera images


Reference #: 00907

The University of South Carolina is offering licensing opportunities for this technology

Potential Applications:

1. Interpretation of results of Phytoplankton characterization procedure

2. Underwater monitoring and tagging of phytoplankton

Advantages and Benefits:

  1. Ability to not only monitor but also discriminate between different phytoplankton taxa or discern cell size

  2. Ability to automatically detect and analyze the "barcode-like" patterns as well as sizes/shapes of the plankton streaks and assign a class to the plankton where possible

Invention Description:

Characterization of Phytoplankton size and taxonomic composition is critical to understanding carbon export in marine ecosystems. As phytoplankton community structure can be highly variable in space and time, its characterization requires sensors that can monitor continuously, and can be deployed at multiple fixed locations or used on tethered or autonomous underwater vehicles. While most ocean sensing platforms are equipped with a fluorometric sensor for chlorophyll a, this information cannot be used to discriminate between different phytoplankton taxa or to discern cell size. As an alternative the subject invention has been designed as a new instrument based on the approach called, "imaging multivariate optical computing" [IMOC] that uses image and fluorescence excitation spectral information to "bar code" different phytoplankton taxa by optical discriminant analysis. As adduced, it is an instrument for interpreting the results of a phytoplankton classification method referred to as that is based on Streak Imaging of Particles.

Patent Information:
For Information, Contact:
Technology Commercialization
University of South Carolina
Michael Myrick
Tim Shaw
Tammi Richardson
Laura Hill
Megan Pearl
Joseph Swanstrom
© 2019. All Rights Reserved. Powered by Inteum