The algae intelligent identification and counting instrument is equipped with an algae expert database, which enables the automation of algae identification and counting through the instrument. The Aquatic-S60i algae intelligent analysis and counting system helps algae monitoring workers improve their work efficiency and monitoring level, providing a good operating platform for environmental monitoring, water quality analysis, and algae researchers.
Aquatic-S60iAlgae Intelligent Analysis and Counting SystemFeature Introduction
Aquatic-S60iAlgae Intelligent Analysis and Counting SystemContains a rich algae library
There are currently 168179 effective algae libraries available, and each library's genus, species, and content can be expanded independently
Custom database
Users can add algae images to their own custom database and create a local database
Freely capture images of algae.
Automatic comparison of deep learning techniques
By utilizing cutting-edge technologies such as deep learning (biological image alpha dog), we have solved the problem of fuzzy recognition of biological images in complex environments. We have achieved intelligent similarity search function without any conditional limitations, helping experimenters quickly search for possible species based on images observed under a microscope.
Biomass calculation
Using geometric shapes to calculate plankton biomass
Main performance indicators
1. Imaging device
Research grade color CMOS camera
Data interface: USB 3.0
Microscope adapter
Three eye biological microscope
2. Software functions
1) Algae image acquisition
Camera connection, white balance, exposure time adjustment, can choose manual or automatic mode to take 200 pictures
3D depth fusion
Super vision stitching
2) Algae database
The algae expert database displayed in both Chinese and Latin languages (consisting of 11 phyla, 1569 genera, and 13085 species) has more than 168179 valid algae databases, and the genera, species, and content of each database can be expanded independently
Separate toxic algae, red tide algae, water algae, common freshwater algae in China, and common marine algae in China from the gallery
3) Intelligent authentication
Using current deep learning techniques for automatic comparison and identification
Single image zoom comparison
Comparison of multiple group graphs
4) Algae classification and counting
Use different colors and sizes of color circles to mark various microalgae, click by class, and automatically accumulate counting
Automatic sorting of dominant species, sorting by phylum (class), and percentage analysis of dominant community composition
Automatically calculate Shannon Wiener index, uniformity index, algae density conversion, and planktonic animal abundance conversion
Using a large number of geometric models to assist in calculating the biomass of planktonic organisms
5) Auxiliary functions
Automatic counting of single-cell microalgae
Measurable algae population area, plankton individual area, algae diameter, length of filaments and flagella, and branching angle
Memory function of historical counting table
Any text and size annotations can be made on the captured algal cell images
6) Data Security and Reporting
Multi user login system, each account forms independent data, and the data is saved for a long time
The statistical results are output in PDF format, and the original data cannot be changed
Equipped with audit tracking function, the software automatically records every step of operation by the operator, facilitating the traceability of subsequent result data
Automatically save each batch of micrographs, statistical identification, and statistical data
configuration
Professional grade 16 megapixel color microscope CMOS camera, camera adapter for three eye microscope
Zstream algae intelligent identification, counting and analysis system
Brand business all-in-one computer
Research grade three eye microscope (optional)