Aquatic-RS0001 fully automatic AI algae counter Introduction: The Aquatic-RS0001 fully automatic AI algae counter consists of a research grade three eye biological microscope, an electric XY mobile platform and controller, a Zstream algae automatic identification counting and analysis system, an algae intelligent identification system, and a data processing terminal. Mainly used for automatic classification and counting, size measurement, species classification, and biomass determination of planktonic algae in sample water bodies. characteristic: 1. Auto focus/photography Fully automatic focusing high-resolution large field optical imaging, automatic stitching of super field images for extraction and analysis, avoiding algae being fragmented by the field of view. Camera port connection, with 5 modes: manual photography, full frame photography, sequential photography, V-shaped photography, and random photography 2. Automatically identify algal species categories It can automatically recognize and count 11 phyla including Cyanobacteria, Cyanobacteria, Cryptophyta, Cyanobacteria, Cyanobacteria, Cyanobacteria, Chrysophyta, Bacillariophyta, Chlorophyta, and Charophyta, with 135 genera and species. Among them, 52 can be identified as species, and can be expanded to more than 200 species based on local information. The names of the recognized algae species are displayed on the image, and the segmented single algae image is associated with the original position. Clicking on it will jump to the original image position. 3. Automatic counting analysis After recognition, the number of various algal species is automatically counted, and the morphological parameters such as area, perimeter, volume, length, width, main axis, secondary axis, and equivalent diameter of each algal body are analyzed and obtained. Can analyze and count the quantity, area, volume, and proportion of various algae (by phylum or genus); You can sort and observe by species morphology similarity and size, and drag to modify multiple species targets at once. Mouse interaction can be used to add, delete, and modify recognized species information. Sort and display the proportion of each category in a bar chart. Further statistical analysis of data can be conducted in Excel software. Algae names can be directly marked on the collected images, and images of each algae can be extracted and segmented, automatically classified and saved. Historical data can be viewed retrospectively. Automatically generate data analysis and statistical tables, original record tables, dominant species reports, and evaluation index reports by door, class, order, family, genus, and species with one click, supporting users for secondary editing. Automatically calculate Shannon Wiener index, evenness index, richness index, algal individual density, algal cell density, biomass, etc. Technical parameters: Camera: Scientific grade color CMOS camera Sensor model/size: SONY Exmor sensor 20M/MX183 (C); 1/1.8 "inch Pixel: 2.4x2.4 μ m G light sensitivity; Dynamic range signal-to-noise ratio: 462mv with 1/30s; 0.21mv with 1/30s FPS/Resolution: 15@5440x3648 ；50 @2736x1824； 60@1824x1216 Exposure time: 0.1ms -15s Data interface: USB3.0
Introduction: The Aquatic-RS0001 fully automatic AI algae counter consists of a research grade three eye biological microscope, an electric XY mobile platform and controller, a Zstream algae automatic identification counting and analysis system, an algae intelligent identification system, and a data processing terminal. Mainly used for automatic classification and counting, size measurement, species classification, and biomass determination of planktonic algae in sample water bodies.
