AI Phytoplankton Analyzer 0.1 mL, 20×20 mm AIA-05 Scitek Global
Product Description
AI Phytoplankton Analyzer
Application
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

AI Phytoplankton Analyzer
Feature
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.

AI Phytoplankton Analyzer
Specification:
|
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
|