Ramboll
Join us for a webinar!

BloomOptix

Cyanobacteria monitoring via AI-microscopy pilot study review and 2023 outlook

Wednesday, January 11 | 1:00–2:00 pm EST

What will you learn?

Are you interested in learning more about BloomOptix – a start-up from Ramboll focused on innovating how we understand, monitor and control harmful algal blooms (HABs) – and our latest advances in technology? Are you looking to upgrade or expand your HAB monitoring program?

Join us for a webinar as we share highlights and findings from 2022, as well as what to expect next year from BloomOptix.

We'll cover:

  • Findings from a five-state citizen science monitoring network
  • Development of an AI microscopy platform for HAB monitoring
  • Accuracy figures in user and expert hands
  • Upcoming improvements and innovations
  • Development, launch and preliminary pricing for 2023

The presentation will be followed by an open Q&A session to answer your questions and hear your ideas and feedback.

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Meet our presenter

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Igor Mrdjen

PhD, Senior Consultant

Dr. Igor Mrdjen has a wide interdisciplinary research background in environmental health sciences. He has led, designed and conducted research on various water quality and health phenomena, including ecological and health impacts of harmful algal blooms, and development of novel remote sensing methods for imaging of terrestrial and aquatic phenomena. Igor leads Ramboll's BloomOptix team developing drone-based monitoring method for algal blooms.

 

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By incorporating traditional methods of harmful algal bloom (HAB) monitoring and bolstering them with innovative solutions, BloomOptix allows customers to understand their waterbodies through a suite of analyses of various data sources. While traditional methods fall short in terms of coarse spatial and temporal resolution, the implementation of BloomOptix unmanned aerial system (UAS) monitoring approach can enhance data acquisition and improve HAB monitoring abilities in targeted areas. In concert with UAS deployment, remotely operated vehicles (ROVs) allow for real-time water quality analysis that can be correlated to remote sensing data. Finally, the use of HABAlert, an AI-powered microscopy tool, enables customers with little-to-no-training monitor their waterways for HAB-causing cyanobacteria, producing timely and actionable data in as little as 10 minutes.