AlgaPro AI-Powered Phytoplankton Monitoring

ZWEEC Analytics

AlgaPro TE300 — AI Water Quality Intelligence

ZWEEC AlgaPro TE300 automated AI microscopy analyzer

Applications

Commonly used for:

Harmful algal bloom (HAB) early warning
Drinking water source and reservoir monitoring
Coastal and marine monitoring

Aquaculture
Environmental research and regulatory programs
Wastewater and industrial process water

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AI Water Quality Intelligence

An automated AI microscopy platform for intelligent phytoplankton identification and water quality monitoring — from microscopy to actionable water intelligence.

AlgaPro integrates deep learning with automated microscopy to detect, classify, and count phytoplankton without the manual examination that traditionally limits how often a monitoring program can sample.

AI Species Detection — deep learning models identify phytoplankton genera from captured microscopy images
Automated Imaging — motorized stage and autofocus scan the sample chamber unattended at 200x / 400x
Real-Time Enumeration — type, proportion, quantity, and density are computed as the scan runs
Freshwater & Marine — trained libraries for both freshwater and marine phytoplankton communities
Digital Analytics — dashboard reporting with trends, counts, and exportable records
Reduced Analyst Workload — frees experienced biologists from routine counting and lets them focus on interpretation

Large Scale Phytoplankton Monitoring

Regular phytoplankton monitoring is one of the clearest diagnostics of water quality and aquatic ecosystem health, and the primary defense against Harmful Algal Blooms (HABs). The constraint has never been the value of the data — it has been the professional labor required to produce it. Manual microscopic examination is slow, requires specialist training, and does not scale to the sampling frequency an effective early warning program needs.

AlgaPro removes that constraint by automating image capture and classification, making high-frequency monitoring across many sites practical for a single laboratory.

Capabilities

High processing speed and capacity. AlgaPro processes 15 water samples in 6 hours — roughly a fourfold saving in time and cost compared with traditional manual methods.

High accuracy. More than 80% accuracy in recognizing the genera of phytoplankton, with analysis of algae type, proportion, quantity, and density. Accuracy has been evaluated against manual microscopy performed by utility biologists using the Sedgewick-Rafter counting method.

Fully automated system. Sample preparation and scanning are streamlined into a single workflow, overcoming the manpower limitations that restrict conventional programs.

Deep learning algorithm. ZWEEC’s models combine deep learning with expert biological knowledge. Training images were labeled by working biologists, and the neural networks learn the visual features that distinguish one genus from another — including instance segmentation for filamentous algae, where segmentation supports length-based cell counting.

System Components

Automated microscope — motorized imaging platform with 200x and 400x magnification and automated scanning of the counting chamber
AlgaPro software — image capture, AI detection and segmentation, enumeration, and real-time dashboard analytics
Species library — trained reference libraries for freshwater and marine phytoplankton, expandable with additional species
Integrated workstation — touchscreen display and keyboard in a single benchtop enclosure

Proven in national monitoring programs. AlgaPro technology is in use with Singapore’s National Water Agency (PUB) and the Yangtze River Monitoring and Scientific Research Centre.

Bring AlgaPro TE300 into your laboratory. AGS Scientific provides application review, configuration, installation, training, and ongoing support.