Algae Database Identification System

1 AI AlgaeAlgae analyzerpurpose

AI AlageAlgae analyzerBuilt in algae expert database, automated algae identification and counting through instruments, helps algae monitoring workers improve work efficiency and monitoring level, and provides a good operating platform for environmental monitoring, water quality analysis, and algae research institutions.

2、 Main Performance and Technical Parameters

1. Imaging device:

Research grade color CMOS camera Ø

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, 1497 genera, and 12654 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

3、 Instrument configuration

Professional grade 20 megapixel color microscope CMOS camera, camera adapter for three eye microscope

Intelligent identification, counting and analysis system for algae

Brand business all-in-one computer

Research grade three eye microscope (optional)