| Availability: | |
|---|---|
AIPhytoplankton Analyzer is a high-tech product that integrates artificial intelligence technology for phytoplankton detection. AIA-05 can reduces the time required for microscopic analysis from approximately 3 h to 5 min, enabling rapid and emergency testing while facilitating water quality source tracing and trend forecasting.
Classic Applications:
Drinking Water Safety: Algae monitoring and odor/taste alerts at source waters
Aquatic Ecosystem Monitoring: Analysis and assessment of algal communities in lakes, reservoirs, and rivers
Aquaculture: Dynamic monitoring of algae in aquaculture waters
Environmental Protection & Water Conservancy: Algal bloom early warning and emergency response
Scientific Research & Education: Algae-related research and teaching at universities and research institutes
1. Fully automated, intelligent workflow, scanning and analysis for a single sample take as little as 3 minutes, while complex samples undergo automatic classification and recognition of over a hundred images in under 2 minutes.
2. Powered by deep learning neural network algorithms, the system identifies over 140 genera of algae with a single click, accurately capturing subtle morphological differences between species.
3. Performs multi-layer, full-field scanning on 0.1 mL samples to generate high-resolution panoramic digital images, ensuring accurate and reliable detection results.
4. With robust self-learning capabilities, the system continuously optimizes its model based on processed data, improving accuracy with every use. Built on advanced architectures like Python and YOLO, it allows for easy expansion of the algae recognition library and supports remote expert review and iterative updates.
5. AI automatically performs qualitative and quantitative analysis while preserving all raw images; every detection result is traceable and verifiable, providing a solid scientific basis for water quality management and decision-making.
6. Integrates AI, 5G/4G, and precision manufacturing technologies to combine image acquisition, automatic recognition, counting, and analysis functions, with a straightforward operating process and user-friendly interface.
7. Proprietary intellectual property rights and supports personalized customization and on-demand production to meet the diverse needs of different customers.
Intelligent Identification and Classification of Phytoplankton
AI Intelligent Monitoring System
Model | AIA-05 |
Flow Cell size | 0.1 mL, 20×20 mm, customizable |
Throughput | 1-5 samples per run |
Scanning Speed | ≤ 2 min/sample |
Image Resolution | <0.26 um/pixel |
System Architecture | Fully integrated benchtop system (Non-microscope modification) |
Imaging Camera | 5.0 Megapixels (5 MP) |
Objective lens | 20X Plan apochromatic objective |
Scanning Stage | High-precision, high-speed 3-axis (X-Y-Z) automated motorized stage |
Scanning Mode | High-speed panoramic scanning, supporting multi-layer (Z-stack) scanning |
Image Preview | 20×20 mm full-view panoramic preview |
Ai Recognition | Deep learning, automatic identification; collaborative R&D & custom models supported |
Counting Method | Full-slide counting, Random field-of-view counting, Diagonal counting, Grid-line counting |
External Size(W×D×H) | 520×540×620 mm |
Shipping Size(W×D×H) | 860×850×1450 mm |
N.W./G.W. | 70/153 kg |
Model | AIA-05 |
Flow Cell size | 0.1 mL, 20×20 mm, customizable |
Throughput | 1-5 samples per run |
Scanning Speed | ≤ 2 min/sample |
Image Resolution | <0.26 um/pixel |
System Architecture | Fully integrated benchtop system (Non-microscope modification) |
Imaging Camera | 5.0 Megapixels (5 MP) |
Objective lens | 20X Plan apochromatic objective |
Scanning Stage | High-precision, high-speed 3-axis (X-Y-Z) automated motorized stage |
Scanning Mode | High-speed panoramic scanning, supporting multi-layer (Z-stack) scanning |
Image Preview | 20×20 mm full-view panoramic preview |
Ai Recognition | Deep learning, automatic identification; collaborative R&D & custom models supported |
Counting Method | Full-slide counting, Random field-of-view counting, Diagonal counting, Grid-line counting |
External Size(W×D×H) | 520×540×620 mm |
Shipping Size(W×D×H) | 860×850×1450 mm |
N.W./G.W. | 70/153 kg |