Automation of the S-R chamber microscope counting method, which is a Korean standard analysis method for microalgae in the water.
Acquisition of raw image data through the scanning of the S-R chamber containing the water sample by the movement of the X-Y axis motorized module
Individual algae image extraction through 10x optical lens and high-resolution CMOS camera
Microalgae in the water are continuously captured by an optical lens and high-resolution CMOS camera, and individual algae images are clipped through image processing
Deep learning algorithm of artificial intelligence techniques classify characteristics of algae species.
Rapid analysis compared to microscopic method
Z-axis auto focusing function for the better algae images
All grid scanning for the full images in the S-R chamber through the movement of X-Y axis
Enable accurate data acquisition regardless of analyst proficiency
Improvement of accuracy with big data analysis
Analysis parameter | Species of algae, Number of cells |
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Analysis method | Morphological classification according to consistency |
Database update | Easy to database development and update |
Camera | 2048*2048 pix, CMOS Color |
Scale | 10X |
Min. resolution | 2um |
Analysis cell | S-R Chamber |
Analysis time | Within 30 minutes |
Operating system | Window 10 |
Dimension | 460*410*640 mm |
User friendly interactive Graphic user interface
Display of Real-time analysis algae images and numbers of cells
Display of trends of algae species and diatom size distribution
Database platform for 10 algae species