An official website of the United States government.

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Legacy Publications Explorer

You are here: Publications / Publication Details

Publication Details

Please note this explorer contains 2017 and prior publications and is no longer updated. Visit Data Reports Explorer for the latest NCCOS research data and reports.

Expanding Harmful Algal Bloom Mitigation in the Gulf of Mexico with Operational Support and Training for the Imaging FlowCytobot Network

Author(s): Campbell, Lisa; Heidi M. Sosik


Name of Publisher: Texas A&M University

Place of Publication: College Station, TX

Publication Type: Abstract

Date of Publication: 2015

Reference Information: CSCOR PCMHAB15-01 Project Summary, 1 p.

Keywords: forecasting; Imaging FlowCytobot; flow cytometry; early warning; Karenia brevis; Dinophysis; Pseudo-nitzschia

Abstract: The frequency of harmful algal blooms (HABs) is increasing worldwide. In the Gulf of Mexico, concern focuses on not only the nearly annual blooms of Karenia brevis, but also emerging HAB species such as Dinophysis and Pseudo-nitzschia. Early warning, provided by monitoring combined with rapid response, has been identified as one of the most effective ways to mitigate the impact of HABs; however, obtaining species-specific results with sufficient temporal resolution to provide early warning is challenging. Monitoring programs for HABs typically rely on toxin analysis of seafood samples or time-consuming manual enumeration of phytoplankton, which limit the frequency of observations and the potential for early warning. Automated submersible microscopes such as Imaging FlowCytobot (IFCB) have changed this situation. Using a combination of flow cytometric and video technology to capture high resolution images of suspended particles and machine learning technology to classify the images, the IFCB can identify potentially toxic species within hours. Long term continuous plankton imaging by the IFCB deployed at Port Aransas, TX has provided early warnings of six HAB events since 2007. We now propose to expand the early warning capabilities in the Gulf of Mexico by advancing an IFCB network to increase the spatial coverage of HAB detection, training additional end-users, and developing an information support system to improve management applications of this technology. The goals of this project are to increase the number of end-users and extend a network of IFCBs in the Gulf of Mexico along the Texas coast for improved detection and management of HAB events that threaten human and ecosystem health. The transfer of this mature technology will provide a model for scaling up the network and expanding it to other regions. One commercial IFCB will be purchased and added to the network of existing IFCBs in Port Aransas and Galveston. Through development of generalized training sets and improved automated classification to target a variety of HAB species, an outcome of this project will be a tool that is more useful to a wider scope of end-users. To facilitate use of the IFCB by managers and researchers outside of our laboratories, the project will include a number of partners from Texas A&M University at Galveston (TAMU-G), Texas Parks and Wildlife Department (TPWD), Department of State Health Services, University of California Santa Cruz, and Woods Hole Oceanographic Institution.

Availability: Available from NCCOS Publications Explorer and the author.

Related Attachment: Download file (.pdf)

Note to readers with disabilities: Some scientific publications linked from this website may not conform to Section 508 accessibility standards due to the complexity of the information being presented. If you need assistance accessing this electronic content, please contact the lead/corresponding author, Primary Contact, or