M520 Colony Counting/Plankton Analysis Combination Instrument Algae Counting Instrument

AlgacountM520 Colony Counting/Plankton Analysis Combined DeviceIt is a multifunctional biological monitoring device upgraded by Xunshu Technology based on the M500 model in 2017. It integrates four functions: colony counting, intelligent identification and counting of planktonic animals, intelligent identification and counting of algae, and microscopic analysis. It is an intelligent image analysis tool specifically designed for monitoring freshwater and marine environmental organisms.

Newly designed software architecture incorporating Xunshu Image Technology:“Progressive Similar Algae Search”Combining "easily confused algae identification" and "typical combination associative morphological search" with exquisite plankton big data, it meets users' needs for rapid and intelligent identification, analysis, and counting of plankton. At the same time, it has multiple functions for analyzing plankton, such as multi-layer focusing, super field splicing, biomass analysis, counting of daughter cells in chain like bodies and gelatinous populations, and automatic counting of single-cell microalgae.

Equipped with a large field of view 1-inch SONY CMOS image sensor, it has fast shooting response speed and excellent color reproduction. The field of view range of a single shot is 5 times that of traditional cameras. In addition, MIC microscopic cell analysis software is provided to meet the precise observation and analysis needs of scientific research users.

Plankton analysis

Newly expanded plankton database

The fully expanded 2017 version of the phytoplankton database covers common freshwater algae in China's seven major water systems, 28 key lakes and reservoirs, as well as common marine algae around the East China Sea, Yellow Sea, Bohai Sea, and South China Sea. Redesign the search architecture and establish a four level search system consisting of "phylum", "order", "genus", and "species", which not only follows phytoplankton taxonomy but also takes into account the convenience of software interface development. Based on the principles of precision, intuitiveness, and practicality, this article focuses on editing and dividing the introduction of phytoplankton into columns, highlighting the characteristics of different species of phytoplankton, making their morphology, structure, reproduction, and ecology clear at a glance. Select a set of images that reflect the morphological characteristics of each specific algal species to avoid users being trapped in a large amount of redundant image information.

The zooplankton database consists of 24 major categories, including protozoan flagellates, protozoan meat footed insects, protozoan ciliates, rotifers, branchiopods, and copepods. It is displayed in both Chinese and Latin, with text introductions, hand drawn images, and a large number of microscopic photographs of zooplankton.

Multi mode intelligent search and identification

Progressive Similar Algae Search "is a revolutionary algae intelligent identification tool developed by Xunshu Technology. It adopts the Machine DeepFace technology and uses today's convolutional neural networks to extract deep features from any image. It can quickly and accurately detect the contours of unknown algal cells, extract feature information, match big data, and find a group of algae with the closest morphology from tens of thousands of image libraries, while prioritizing the display of common algae.

This feature has distinct characteristics and strong practicality, meeting both the efficiency of image search and the accuracy of graphic matching.

Easy to confuse algae identification ": Users can select 2, 4, 6 or more algae with similar morphology, and quickly compare them on the same interface. Through typical combination feature maps and summary text, they can quickly grasp the key differences between them and guide themselves to observe them from the differentiated detailed features.

Typical combination association "morphological retrieval: Based on morphological similarity and gradient, real typical algal cell images are selected, combined and classified, and combined with the structural characteristics of cells or populations, such as flagella, pigment bodies, patterns, gelatinous covers, etc., to achieve accurate and fast morphological retrieval.

The features of graphic language, associative combination, feature selection, freshwater and ocean libraries, and easy browsing enable beginners to quickly master them.

Classification and counting of plankton, automatic sorting of dominant species

Plankton process counting: continuously obtain 200 field images, edit the counting table, click to mark different species, automatically accumulate the same genus and species in multiple fields, classify and count different species, accumulate the total number, automatically sort dominant species, and analyze the proportion of dominant groups.

Automatic counting of single-cell microalgae

The "dynamic automatic counting" system, which includes seven image segmentation algorithms, is suitable for rapid determination of cell concentration in pure cultured energy algae, medicinal or edible microalgae.

Microscopic measurement, biomass analysis

The system provides specialized microscopic analysis tools. The transparent digital ruler can achieve microscopic measurements at different objective magnifications; The biomass analysis module aggregates a large number of geometric models of algae and plankton, and automatically calculates their biomass through microscopic measurement data.

Data Security and Management

To ensure the authenticity and security of environmental monitoring data, the newly designed account management system can achieve multi account hierarchical management, granting administrators (laboratory leaders) the maximum authority to supervise and view the experimental data of different experimenters; And the experimenters cannot view or tamper with their respective data.

The statistical information of plankton is stored in electronic form to ensure the integrity of the data, which helps to standardize and paperless environmental monitoring, greatly improving work efficiency and in line with the development trend of laboratory testing. The statistical data is sorted by dominant species, including: total count, single-cell volume, percentage, algal density, abundance, dominance, total algal volume, Shannon index, species evenness index, carbon biomass, nitrogen biomass, and total carbon biomass.

colony counting

Fully enclosed lighting

Adopting fully enclosed, wide band lighting technology and ergonomic porthole door design, it isolates the interference of ambient light and eliminates the phenomenon of light spots and halos caused by stray light refracted in glass culture dishes.

Tri color LED light source

By using a long lifespan, low power consumption, and environmentally friendly three color LED mixed light, the true color of bacterial colonies can be restored, eliminating the problem of blue bias in white LED lighting imaging.

Free switching of lighting modes

The system adopts a dual light source design: the upper light source uses a large array LED mixed light module, which creates a 360 degree surround diffuse soft light through a flexible light guide plate; The bottom light source adopts Crystal Sharp suspended dark field illumination. The upper and lower light sources can be freely switched, and the brightness can be adjusted according to user needs.

Intelligent colony counting

Taking the cutting-edge image segmentation technology "level set active contour model" as the core, we have creatively developed image segmentation techniques such as "fast active contour model", "color level set active contour model based on RGB constraints", and "multiphase level set active contour model" for microbial colony diversity. These techniques have strong noise resistance, good numerical stability, smooth and continuous segmentation boundaries, and can handle topological structures, achieving accurate counting of complex colonies.

Main functions and technical indicators

1、 Colony digital imaging

1. Light source

Visible light: High brightness tri color LED structured light

254nm UV: used for cavity disinfection and UV mutagenesis

2. Light path and lighting control

Fully enclosed dark box: eliminating environmental stray light interference

Upper light source: scene style 360 ° flexible shadowless lighting

Lower light source: Crystal Sharp floating dark field illumination

Up light, down light, dual light, UV, freely switchable, adjustable light intensity

3. Optoelectronic conversion

Standard definition industrial fixed focus lens: 8mm, 3.0 mega pixel, 1/2 ", Distortion<1%, F1.4-F32

Professional CMOS camera: 1/2.3 "color CMOS sensor, 8.5 Mega Pixels, C-Mount

2、 Colony counting module

1. Basic colony counting function

Type of petri dish: pouring, coating, membrane filtration, 3M paper sheet

One click intelligent counting (6 modes): flat sensing mode, three-dimensional sensing mode, small colony priority, large colony priority, same color bacteria priority, culture medium removal mode

Whole dish colony count: Count the total number of colonies and display them classified by 25 sizes

Region selection statistics: You can choose semicircles, rectangles, sectors, or any delimited region for statistics

Diameter classification statistics: Set the diameter range and count colonies of specific sizes

Mouse click statistics: Quickly mark and add colonies, suitable for counting colonies at the edge of culture dishes

Colony adhesion segmentation: Automatically segment colonies that adhere to each other, and users can choose to segment or not segment chain colonies

2. Advanced colony counting function

Dynamic adjustment statistics: The statistical results can be dynamically adjusted and corrected to quickly obtain statistical effects.

Deviation estimation statistics: suitable for situations with multiple and complex colony colors.

Level set multi model algorithm: search operation, obtain image segmentation effect, adapt to background changes in the culture medium

Specific colony statistics: Identify specific colonies based on their color, size, and contour characteristics

Trans statistics: suitable for extremely complex colony types and uniform culture medium background

Removal of miscellaneous bacteria and impurities: Automatic removal of miscellaneous bacteria and impurities based on differences in morphology, size, and color

3. Grid filter membrane and 3M test piece

Black solid line grid with one click statistics

3M total bacterial count test piece, 3M Staphylococcus aureus test piece: one click statistics

3M Escherichia coli test strip, 3M Escherichia coli/Escherichia coli rapid test strip: one click statistics+manual selection

4. Microbial limit analysis tool

Applicability check of culture medium

Control bacterial examination - colony morphology

5. Special analysis

Mold proof testing: quantitative analysis of mold proof level

6. Advanced Tools

Grid Clearing: Eliminating background interference in the filter membrane grid

Manual counting correction: adding or deleting colonies

Exclude contaminated areas: Use the mouse to outline any contaminated area and automatically remove the bacterial count from the contaminated area

Background text elimination: automatically eliminates marker interference

Artificial adhesion segmentation: manually segmenting multiple adhesive colonies

Parameter automatic conversion: Input the diameter of the culture dish and sample dilution to achieve automatic conversion

Text and graphic annotations

7. Calibration and Measurement

Instrument calibration: The instrument comes with built-in calibration and manual correction calibration

One click rapid measurement: One click determination of large bacterial colonies, suitable for single colony analysis of fungi and actinomycetes

Automatic measurement of the entire dish: analysis of the equivalent diameter, area, length, circumference, and roundness of the entire dish colony

Manual precise measurement: length, angle, radian, area, arc, any curve

8. Database module

Data storage and intelligent querying

Data export: Export statistical results in an Excel spreadsheet

Data Security: Operator Access Permissions, Data Modification Permissions Settings

3、 Microscopic imaging of plankton

Large area array scientific research grade color digital camera: SONY 1-inch image CMOS sensor; 20 million pixels; G light sensitivity 462mv with 1/30s; FPS/Resolution: 5.5@5440x3648 ； 16@2736x1824 ； 21@1824 ×1216； Exposure time: 0.1ms~15s; USB3.0

Microscopic imaging: real-time dynamic observation and rapid capture of ultra large field of view microscopic images, batch image saving

3D depth fusion: Quickly fuse different focal planes to solve the problem of local blurring caused by the distribution of algae cells in different liquid layers, and obtain panoramic deep and high-definition images of algae cells

Super View Splicing: Multi View Horizontal and Vertical Automatic Splicing

4、 Plankton database

1. Algae Expert Database

Composed of exquisite color micrographs, hand drawn images, and textual introductions, it forms freshwater and marine algae reservoirs; Covering freshwater algae in China's seven major water systems, 28 key lakes and reservoirs, as well as marine algae around the East China Sea, Yellow Sea, Bohai Sea, and South China Sea.

2. Zooplankton database

Composed of 24 major categories including protozoan flagellates, protozoan meat footed insects, protozoan ciliates, rotifers, branchiopods, and copepods, displayed in both Chinese and Latin, accompanied by written introductions, hand drawn illustrations, and numerous microscopic photographs of planktonic animals.

5、 Plankton identification

1. Algae intelligent identification - "Quick Search" module

Progressive Similar Algae Search: An automatic and intelligent algae cell graphic recognition tool that can detect unknown algae cell contours, extract feature information, match big data, and accurately identify possible algae with similar morphology in 3-5 seconds. The "Priority Selection" option synchronously displays the most similar common algae.

Identification of easily confused algae: Designed for inexperienced experimenters, multiple algae that are easily confused due to their similar morphology are screened and quickly compared on the same interface. Through typical feature puzzles and summary text, the distinguishing points are quickly grasped.

Typical combination association "morphological retrieval: using graphic language, combination association, and combining the structural characteristics of cells or populations to achieve accurate and fast morphological retrieval. Equipped with features such as multiple selection, freshwater and ocean storage, and easy browsing, beginners can quickly master them.

Four level taxonomic search: composed of exquisite color micrographs, hand drawn images, and textual introductions to form freshwater and marine algae pools; Freshwater algae covering seven major water systems and 28 key lakes and reservoirs in China, as well as marine algae around the East China Sea, Yellow Sea, Bohai Sea, and South China Sea; Expand the search by four levels: door, order, genus, and species.

Column editing: The names, classification status, morphology, structure, and reproductive ecology of phytoplankton are clear at a glance.

General search: Keyword search (based on the feature words in the algal cell text description); Common algae queries (algal blooms, red tides, toxic algae); Name query (Chinese name, Latin name)

2. Auxiliary identification of planktonic animals

Search by Chinese or Latin name

Select a class or genus to display all planktonic animals under that category

6、 Plankton Counting and Analysis

1. Process based counting of planktonic organisms

Classification and statistics of plankton: Various organisms are marked with color circles of different colors and sizes, clicked by category, and automatically accumulated and counted

Algae Total Count Statistics: Automatically accumulate the total number of various organisms in the sample, automatically sort dominant species, sort by phylum, and analyze the percentage of dominant community composition

Automatic calculation: algae density, biomass, Shannon Wiener index, species evenness index, dominance, abundance

Gel population analysis: automatic recognition and counting of daughter cells in the population, especially suitable for counting analysis of Microcystis aeruginosa

Chain like body analysis: used to estimate the number of daughter cells in a single filament or chain like body

2. Automatic counting of single-cell microalgae

Dynamic automatic counting: seven segmentation algorithms adapted to changes in single-cell microalgae and imaging backgrounds

Multi functional cell counting: Based on a universal, multi-channel, and color matching segmentation algorithm, cells of specific colors, sizes, and contours can be selected for automatic counting or reverse exclusion of cells and impurities.

3. Measurement and biomass analysis

Microscopic measurement: You can choose between transparent and opaque rulers, or directly click the mouse to draw a line to measure biological cells

Biomass analysis: automatically calculate biomass based on mathematical models of plankton morphology

7、 Image processing

Adaptive Enhancement: Resolution Enhancement Processing to Highlight Microscopic Features of Algae Cells

Image adjustment: arbitrary adjustment of image brightness, contrast, saturation, RGB color, and conversion of grayscale and negative phase diagrams

Image compensation: Various mathematical methods such as linear compensation, logarithmic compensation, Bell compensation, etc. are used to compensate for the distorted parts of the image, making the image clearer

Image sharpening: By enhancing the high-frequency components of the image, the edges of algae become clearer

Image smoothing: Through image smoothing processing, the background of the image is made uniform

Image filtering: 6 filtering methods including Gaussian filtering, low-pass filtering, median filtering, etc. effectively improve image clarity

Edge detection: Two detection methods, three operators combined with multiple detection options to more accurately extract algal contours

Morphological processing: Nonlinear mathematical morphological processing such as corrosion, expansion, opening, and closing

8、 Experimental data security

Multi account hierarchical management, administrators and experimenters have different permissions to avoid tampering with experimental data

Electronic record keeping method is used to store the database, ensuring the integrity of the data

Database: Automatically save each batch of micrographs, statistical identification, and statistical data

Annotation: Any text or size annotation can be made on the captured images of planktonic cells

Report editing and printing: providing report writing templates, text input, and print preview

Data export: Export statistical data and images to EXCEL or PDF files

9、 Instrument specifications and configuration

? NewM520 Colony Counting/Plankton Analysis Combined Device1 host

Colony analysis software, algae analysis software, MIC analysis software, planktonic animal analysis software

Lenovo all-in-one computer (nationwide warranty): dual core CPU/4G memory/1T hard drive/21.5 'color display/DVD burning/wireless network card, Windows 7 or Windows 10

Microscopic Camera Research Grade Color CMOS

User optional: microscope and camera adapter