AlgaeC plankton count analysis intelligent identification system Performance: 1) Microscopic imaging: It can manually control the observation, shooting, storage and continuous automatic shooting of up to 200 images at regular intervals. With real-time preview saturation warning, automatic background correction features. 2) Algae expert gallery in Chinese and Latin bilingual display (15 gates, 1585 genera, 14045 species), there are more than 166,111 effective algae libraries, and each library species and content can be expanded by itself. 3) Intelligent identification of algae: It has an intelligent map search feature that automatically compares algae images according to image shape, color, texture and other similarities. As well as rapid identification of algae through morphological search, fuzzy keyword search, common algae search, taxonomic search, and image and text comparison. The user count table that can automatically index algae becomes a small map in the basin, making [search by graph] faster. 4) Algae counting and morphometric function: a. Plankton classification mark: mark various plankton with color circles of different colors and different sizes, and click and automatically click on various plankton in 200 pictures. Cumulative count (can combine different multiplier count results, multiple sample count results); b, dominant species automatic sorting, sort by door (class), percentage composition of dominant community composition; c, can automatically calculate Shannon-Werner index, uniformity Index, algae density automatic conversion, zooplankton abundance automatic conversion; d, according to a large number of shape models to assist in the calculation of plankton biomass (built-in 34 geometric models, the individual / cell volume can be calculated by measuring a small number of parameters). Built-in common freshwater algae, common marine algae and other counters, and can edit, export, and import the meter. It can be measured according to the area of the field of view, the area of the algae population, and the area of the individual zooplankton, measured by cell diameter, algal filaments, flagella length, zooplankton body length and antennae, and by branch angle measurement. 5) The microcystis analysis module can automatically learn and automatically analyze the number of cells in the population of Microcystis, and automatically count the zooplankton such as granular or single cell microalgae, chain microalgae cells, nematodes and the like. 6) Super depth of field extended multi-focus fusion 3D high definition imaging. Automatic stitching and crop editing correction features for multi-view images. The algae's color and shape automatically learn the classification characteristics, monitor and modify the algae category, and learn and save the classification features twice. 7) With the automatic mapping feature of planktonic cells, the main edge feature image can be quickly extracted. It has clear processing characteristics for blurred and overlapping plankton images. 8) The analysis software has the characteristics of online self-upgrading. Configuration: 1) Professional-grade 20-megapixel color CMOS camera (Sony large target 1" chip), camera transfer interface of trinocular microscope 2) Wanshen Plankton counting analysis intelligent identification system software (algae identification module) 1 set 3) Brand computer (Core Duo/4G memory/500G hard disk/19.5" color display/wireless network card, used under Windows operating system) 1 set
(1) It can manually control the observation, shooting, storage, and continuous automatic interval shooting of up to 400 microscopic images.
(2) Featuring real-time preview of saturation warnings and automatic background correction.
(3) Ultra strong depth of field extended multi focus fusion 3D high-definition imaging.
(4) The automatic stitching, cropping, editing, and correction features of multi field images.
