Aquatic-RS80 plankton intelligent identification and analysis system Introduction
Aquatic-RS80 plankton intelligent identification and counting analysis system has a built-in plankton database. The plankton identification and counting can be automated through instruments. It can provide early warning of blooms in large river basins and lakes, and help plankton monitoring workers to improve their work efficiency and monitoring level. . Aquatic-RS80 plankton intelligent identification and analysis system provides the best operating platform for environmental monitoring, water quality analysis and algae research institutions, thereby ensuring the safety of people's drinking water. Features
Abundant zooplankton gallery: There are 168179 effective algae libraries, and the species and content of each library can be expanded by themselves. There are 73928 zooplankton effective libraries, and the species and content of each library can be expanded by themselves.
Custom database: Users can add algae / plankton pictures to the user-defined database and create a local database.
Automatic comparison of deep learning technologies: The cutting-edge technology of deep learning (biological image alpha dog) is used to solve the problem of fuzzy recognition of biological images in complex environments. For the first time, the similarity intelligent search function without any restrictions has been implemented, helping experimenters Look down at the observed images and quickly search for possible species.
Biomass calculation: Calculating plankton biomass using geometric figures Technical Parameters
1. Imaging device
Scientific Grade Color CMOS Camera
Data interface: USB3.0
Microscope adapter
Trinocular biological microscope
Software functions
1) Plankton image collection
Camera connection, white balance, exposure time adjustment, select manual or automatic mode to take 200 pictures
3D depth of field fusion
Super Vision Mosaic
2) Plankton database
Algae expert database: The database contains freshwater algae and marine algae, covering the domestic eastern plain lake area, Mengxin plateau lake area, Yunnan-Guizhou plateau lake area, Qinghai-Tibet plateau lake area, northeast plain and mountain lake area, and seven major water systems in China, as well as the East China Sea, Yellow Sea, Bohai Sea, and South China Sea The marine algae in the surrounding area, Chinese and Latin bilingual algae expert library (a total of 11 phylums, 1569 genera, 13,085 species), there are more than 168,179 effective algae libraries, each species and content can be expanded
Zooplankton database: Chinese and Latin bilingual zooplankton expert library (a total of 10 categories, 1239 genera, 4851 species). There are more than 73.28 million zooplankton effective libraries. The species and content of each library are available. Self-expansion
3) Intelligent identification
It adopts leading international advanced deep learning (biological image alpha dog) cutting-edge technology, and automatically searches for similarity through similarity comparison to solve the fuzzy recognition of biological images in complex environments. It is an automatic and intelligent planktonic cell graphic recognition tool. Quickly narrow the scope for quick identification
Oriented development based on local algae information to achieve automatic identification and counting functions, greatly reducing work difficulty and improving efficiency
System contains common algae list and local custom database
Single image zoom comparison
Multiple population graph comparison
4) Algae count
Mark various microalgae with color circles of different colors and sizes, click by category, and accumulate count automatically
Dominant species automatic sorting, sorting by door (class), percentage analysis of dominant community composition
Can automatically calculate Shannon-Wiener index, uniformity index, automatic conversion of algae density, automatic conversion of zooplankton abundance
A large number of geometric models to assist the calculation of plankton biomass
5) Zooplankton classification and counting
Mark various microalgae with color circles of different colors and sizes, click by category, and accumulate count automatically
Dominant species automatic sorting, sorting by door (class), percentage analysis of dominant community composition
6) Accessibility
Automatic counting of single-cell microalgae
Can measure algae population area, plankton individual area, algae diameter, algae filaments, flagella length, and branch angle
History counter memory function
Any text and size can be marked on the pictures of algae cells
7) Data security and reporting
Multi-user login system, each account forms independent data, and the data is stored for a long time
Statistical results are output in PDF format, original data cannot be changed
Equipped with audit trail function, each step of the software operation of the operator automatically records the software to facilitate the traceability of subsequent results data
Automatically save each batch of photomicrographs, statistical labels and statistics
Introduction
Aquatic-RS80 plankton intelligent identification and counting analysis system has a built-in plankton database. The plankton identification and counting can be automated through instruments. It can provide early warning of blooms in large river basins and lakes, and help plankton monitoring workers to improve their work efficiency and monitoring level. . Aquatic-RS80 plankton intelligent identification and analysis system provides the best operating platform for environmental monitoring, water quality analysis and algae research institutions, thereby ensuring the safety of people's drinking water.
