Research Project: PCMHAB: Expanding Harmful Algal Bloom Mitigation in the Gulf of Mexico with Operational Support and Training for the Imaging FlowCytobot Network
Loading...
Date
Authors
Principal Investigators
Department
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract or Project Summary
The overarching goals of this project were to foster the technology transfer of the Imaging FlowCytobot (IFCB) to an increased 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 harmful algal bloom (HAB) events that threaten human and ecosystem health. The transfer of the mature IFCB technology required training end-users, advances in analysis and information tools, and an expanded network of IFCBs in the hands of different types of users.
We accomplished these goals first by deploying a second IFCB on the Texas coast at Surfside Beach at the US Coast Guard station in Freeport, TX. Next, we developed an improved information support system to enable end-users to utilize IFCB observations for HAB management decisions and an improved automated image classification for HAB taxa using a convolutional neural network approach. Training of end-users on field operation and routine maintenance, use of the information support system, and use of the improved classifier design user interface was accomplished in a series of workshops held by PIs at TAMU, at McLane Laboratories and at the 2017 and 2019 US Symposia on Harmful Algae in the US. Finally, we continued to build partnerships between researchers and resource managers to promote access and sustainability toward operational use of IFCB technology with outreach activities.
The outcome of this project is a model for scaling up IFCB networks in other regions of the US. The PIs have helped colleagues who have established IFCB field deployments in Texas and at several sites around the US. Products from this award include 8 publications in peer reviewed journals, 36 invited and contributed presentations at national and international venues, Github repository for data analysis code, and 4 websites for information and access to the TOAST data and data products.
Description
Grant