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HD1600 AI intelligent colony counter

NegotiableUpdate on 05/06
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Overview

HD1600 is the latest product from Xunshu Technology, a high-definition colony counter equipped with AI artificial intelligence. The research team carefully screened and summarized, and established a colony image dataset. After hundreds of neural network training and model parameter adjustments, they obtained high-precision and highly robust engineering software that can quickly and batch solve colony counting of various petri dishes.

Product Details

HD1600AI Intelligencecolony counter

HD1600 AI智能菌落计数仪

HD1600 is the latest product from Xunshu Technology, a high-definition colony counter equipped with AI artificial intelligence. The research team carefully screened and summarized, and established a colony image dataset. After hundreds of neural network training and model parameter adjustments, they obtained high-precision and highly robust engineering software that can quickly and batch solve colony counting of various petri dishes.

The instrument adopts a delicate, sturdy, and well cooled all metal architecture design, with rich lighting paths: high contrast suspended dark field lighting, fog gradient diffuse lighting, oblique backlight lighting, and dual path dual wavelength dyeing lighting. Digital imaging consists of a high-resolution fixed focus lens and a high pixel CMOS sensor, resulting in sharp images and natural colors.


Multi mode professional image shooting

Suspended dark field illumination, fog gradient diffuse reflection illumination, oblique backlight illumination, dual path dual wavelength staining illumination.

HD1600 AI智能菌落计数仪

HD1600 AI智能菌落计数仪


fastEfficient counting method

HD1600 AI intelligent colony counterEasy to operate, no need to select algorithms or parameters, one click to start analysis, continuous shooting of petri dishes, batch analysis and counting of colony images,Count 200 petri dishes within 180 seconds.

HD1600 AI智能菌落计数仪

AI artificial intelligence high-precision automatic colony counting

The broad representativeness and effectiveness of big data are important foundations for determining the accuracy of AI. The Xunshu AI colony analysis system, based on 20 years of promotion and accumulation of massive user colony images, has been trained with high computing power through neural networks to form a fast, stable, and high-precision large model. It can not only accurately count conventional petri dishes, but also achieve accurate counting of dishes with strong adhesion and high interference from impurity backgrounds.


Various cases of AI recognition of petri dishes


Mixed colonies with significant differences in morphology and size

HD1600 AI智能菌落计数仪


Dense and long-chain colonies

HD1600 AI智能菌落计数仪


Cloudy petri dishes stained with colony TTC

HD1600 AI智能菌落计数仪


Water vapor and text interference

HD1600 AI智能菌落计数仪

Mixing fine food seasoning residue with bacterial colonies

HD1600 AI智能菌落计数仪

Agar cracking

HD1600 AI智能菌落计数仪

Total coliform bacteria on the filter membrane

HD1600 AI智能菌落计数仪

Colonies on opaque culture medium

HD1600 AI智能菌落计数仪




Main functions and technical indicators

1lighting system

Fully enclosed steel aluminum alloy chassis (32 × 34 × 46cm): precise and sturdy, ensuring a light tight seal

Flat dish sample compartment: aluminum alloy frame, pull-down partition window, eliminates environmental stray light interference, blocks UV leakage, and prevents dust from entering

High contrast floating dark field illumination

Circular layered LED broadband retroreflection highlights the contour and color of bacterial colonies in the dark field, keenly capturing micro colonies on the surface and deep layers of the culture medium

Color transparent backlight illumination

Adjustable LED light guide array, forming uniform and bright 5 color transmitted light, enhancing the contrast between bacterial colonies and culture medium

Illumination uniformity greater than 90%, ensuring uniform illumination at the edges and center of the culture dish

Fog gradient diffuse reflection illumination

Circular LED forms a large area of fog diffuse illumination through the guidance and uniform light diffusion of nanomaterials

Natural display of colony color, texture, and transparency, with no colonies presentShadows eliminate the light spots and halos formed by the refraction of glass plates

Light staining illumination (dual path dual wavelength)

Two wavelengths of light are irradiated at different angles on the petri dish to achieve light staining of colonies and culture media (filter membranes), improving the accuracy of colony recognition and counting.

UV disinfection: High power deep ultraviolet UVC-LED, instant sterilization, does not produce ozone, stable light efficiency, long lifespan

Light source controller

concealShaped suction control panel,5Road lighting selection switch3Channel infinite brightness adjustmentsection

Free switching and selection of single mode lighting or combined mode lighting


2digital imaging

Fixed focus lens: 12mm, 10 mega pixel, 200 lp/mm, F1.8~F32, C-Mount

Color industrial camera: 1/1.8 'color CMOS, resolution of 20 million pixels, single pixel size 1.4X1.4um


3Colony analysis module

1. AI Intelligencecolony counting

Suitable for various types of petri dishes and test pieces: pouring, coating, membrane filtration, contact dishes, 3M test pieces

Fully automatic AI intelligent colony counting, one click start, no parameter setting required

High throughput rapid counting, capable of batch analysis of 200 petri dishes within 180 seconds

Statistical accuracy: The counting accuracy of standard strains reaches over 98%; A plate with a colony count of less than 300 CFU and no spreading colony growth can achieve a counting accuracy of over 95%

Verification eye: flashing switch mark to verify colony recognition accuracy

AI technology solves common difficult samples: segmentation of long chain colonies; Interference from water mist and label text; Changes in the color, translucency, dryness, and uneven thickness of the culture medium; Bacterial colonies vary in size, depth, morphology, and high adhesion; Background interference from impurities and slightly soluble substances

Sample registration, data processing, report generation and export

2. Advanced colony statistics

Monochromatic classification statistics: Select specific bacterial colonies based on color accuracy, diffusion, colony size, and contour features

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

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

Level set multi model algorithm: search operation, obtain excellent 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


4、 AIdata management

1. Multi user, multi project management

Ø A multi-user system can be created, where each user logs in with an independent username and password to ensure personal data isolation.

Ø The experimenter can create multiple engineering files for different projects during each experiment. Each project can achieve batch shooting of petri dishes, automatic batch colony counting, verify counting accuracy, and generate electronic data. Multiple project files can be switched, called, and managed at any time.

2. Data Information Management

Ø The electronic data generated by the analysis system is saved, backed up, restored, and retrieved in the form of engineering files.

Ø All engineering file data is deeply hidden to prevent illegal deletion, modification, or theft, ensuring the security of the files.

Ø The electronic data within a single engineering file consists of sample registration information, statistical result information, test reports, and a set of petri dish images of batch labeled colonies. Sample registration includes: sample name, number, report name, testing unit, sending unit, testing personnel, and testing date. The statistical results include: dish number, dish name, number of identifications, dilution factor, and total conversion. The test report can be output in PDF or Excel format.

Ø Data backup and recovery: The system can back up engineering files to external media or restore files from external media to the system. Backup and recovery cover all statistical data, images, and other information of the original engineering files.


5Instrument specifications and configuration

One HD1600 AI intelligent colony counter host

AIColony counting software, classical colony analysis software

productCard computer:i5 CPU/16Gmemory/1Thard disk+512G SSD/integrated graphics/27'HD screen,Windows 11system