Intelligent identification and counting instrument for planktonic animals and algae

Aquatic-RS80-Intelligent identification and counting instrument for planktonic animals and algaeFeature Introduction

Aquatic-RS80-Intelligent identification and counting instrument for planktonic animals and algaeBuilt in rich plankton library, with an effective algae library of 168179, each library genus and content can expand the existing effective plankton library of 73928. Each library genus and content can expand and customize the database. Users can add algae/plankton images to the user-defined database and create a local database.

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. Single image magnification comparison is used to calculate the biomass of planktonic organisms using geometric shapes.

Intelligent identification and counting instrument for planktonMain performance indicators

1. Imaging device research grade color CMOS camera data interface: USB 3.0 microscope to microscope interface, three eye biological microscope

2. Software functions

1) Plankton image acquisition camera connection, white balance, exposure time adjustment, can choose manual or automatic mode to capture 200 images, 3D depth fusion, super field of view stitching

2) The plankton database displays a bilingual database of algae experts in both Chinese and Latin, consisting of 11 phyla, 1569 genera, and 13085 species. There are currently over 168179 valid algae libraries, and the genera and contents of each library can be expanded independently. The database also includes a separate database of toxic algae, red tide algae, algal blooms, common freshwater algae in China, and common marine algae in China, with 4851 species displayed in both Chinese and Latin. There are over 73928 valid zooplankton libraries, and the genera and contents of each library can be expanded independently

3) Intelligent identification adopts current deep learning technology to automatically compare and identify single images, enlarge and compare multiple group images

4) Algae classification and counting use different colors and sizes of color circles to mark various microalgae. Clicking by class, automatic accumulation counting, automatic sorting of dominant species, sorting by phylum (class), and analysis of dominant community composition percentage can automatically calculate Shannon Wiener index, evenness index, algal density conversion, and planktonic abundance conversion. A large number of geometric models are used to assist in calculating the biomass of planktonic organisms

5) The classification and counting of planktonic animals use different colors and sizes of color circles to mark various microalgae, and click by class, automatically accumulate counting, automatically sort dominant species, sort by phylum (class), and analyze the percentage of dominant community composition

6) Auxiliary function: Single cell microalgae automatic counting can measure the area of algae population, individual area of plankton, diameter of algae, length of algal filaments and flagella, and branching angle. The historical counting table memory function can annotate any text and size on the captured algal cell images

7) Multi user login system for data security and reporting, with each account forming independent data. The data is saved for a long time and statistical results are output in PDF format. The original data cannot be changed and has audit tracking function. The software automatically records every step of the operator's operation on the software for subsequent traceability of result data. Each batch of microscopic photos, statistical identification, and statistical data are automatically saved

configuration

Configuration professional level 20 megapixel color microscope CMOS camera, camera adapter for three eye microscope

Zstream algae intelligent identification, counting and analysis system, plankton intelligent identification and counting system

Brand business all-in-one computer research level

Three eye microscope (optional)