Micronucleus analysis/colony counting/cell counting combined instrument

Fully enclosed scene lighting, high pixel camera, highlighting tiny bacterial colonies

Security architecture design to achieve effective audit tracking

One click intelligent six modes

Research grade color CCD large array camera

Sensor model/size: Sony ExView HAD CCD chip 1.4M/ICX285AQ (C); 2/3 inch

Pixel: 6.45x6.45 μ m

G light sensitivity, dark current: 1240mV with 1/30s; 10mv with 1/30s

FPS/Resolution: 15@1360x1024

Exposure time: 0.12ms~240s

Data interface: USB 2.0

CCD connection: enables real-time dynamic observation of ultra large field of view microscopic images, reducing the amount of images captured. 

CCD adjustment: It has the functions of adjusting exposure time and white balance

CCD photography: Microscopic image acquisition, automatic saving of batch images

Positive red blood cell learning: Randomly selecting typical mature red blood cells (NCE), intelligent learning, and memory cell characteristics

Polychromatic red blood cell learning: Randomly selecting typical immature red blood cells (PCE), intelligent learning, and memory cell characteristics

Revise selected cells: with undo, clear and reselect functions

Electronic records: record the operator's experimental data to ensure data accessibility and integrity; 

Report output: Output in "PDF" or "EXCEL" format, the output report data is consistent with electronic records and cannot be changed. 

Account management: graded management by administrators and operators, only authorized personnel can log in; Administrators comprehensively manage operator accounts, passwords, account freezing, etc. 

Audit tracking: Record personnel identities, operational processes of each operator, including time, samples, whether statistical results have been modified, whether historical data has been deleted, and all historical records.

Image display: Real time dynamic observation, capturing any field of view image at any time

Image observation: with functions of rotation, enlargement, reduction, mirror conversion, and local observation

Image editing: It has functions such as cutting, copying, pasting, and text input for any area of the image

Adaptive enhancement: By performing resolution enhancement processing on the original image that matches its features, the image becomes clearer and the edges are more prominent, facilitating the observation and recognition of subtle structures in the image. 

Image adjustment: arbitrary adjustment of image brightness, contrast, saturation, RGB three colors, conversion of grayscale image and negative phase diagram

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 an image, the edges of the image become clearer. 

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

Image filtering: Six filtering methods, including Gaussian filtering, low-pass filtering, and median filtering, effectively improve image clarity. 

Edge detection: Two detection methods and three operators combined with multiple detection options can more accurately extract image contours. 

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

Calibration: It has the function of online calibration of the system to achieve accurate measurement (default calibration values are built into the system)

Measurement function: online measurement of particle diameter, length, curvature, angle, any curve, area, etc

Automatic statistics: Automatically count particles and display morphological parameters such as area, perimeter, diameter, roundness, etc. of each particle

Regional statistics: Any shape of region such as rectangle, circle, umbrella, etc. can be selected for statistics

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

Color recognition statistics: Select specific particles based on chromaticity, brightness, and saturation

Mouse click statistics: Adding or deleting particles with mouse clicks is convenient and fast

Adhesive segmentation processing: According to user needs, particles that adhere to each other can be automatically or manually segmented

Multiple statistical algorithms: using multiple segmentation algorithms, suitable for particle statistics with different backgrounds

Diversified book statistics: comprehensive statistics of multiple microscopic images

Automatic parameter conversion: Based on the statistical area and sample dilution, achieve automatic conversion

Drawing: You can draw lines, rectangles, circles, and any curves as needed for the opened image

Text editing: Text editing of opened images

Annotation: Convenient for annotating lines and angles

Online editing: provides report writing templates, text input, and print preview

Report printing: automatic printing of images and statistical data

Visible light: High brightness three color LED structured light

254nm UV: used for cavity disinfection

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

High definition industrial fixed focus lens: focal length 8mm, resolution 150lp/mm

Professional CMOS camera: 1/2.33-inch color CMOS sensor, 16 million pixels C-Mount、USB3.0

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

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 circular, rectangular, or arbitrarily delineated regions for statistics

Diameter classification statistics: Set a 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

Dynamic adjustment statistics: The statistical results can be dynamically adjusted and corrected to quickly obtain the best statistical effect. 

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

Level set multi model algorithm: search operation, obtain the best 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

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 Adhesive Segmentation: Manually segmenting multiple adhesive colonies

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

Text and graphic annotations

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

System administrator (top-level): responsible for creating and managing accounts and login passwords for all operators and auditors. Ensure account and data isolation between operators and between operators and auditors. 

Data Administrator (Deputy Senior): Responsible for archive management of all test data and database management of computers. Seal all approved test reports or backup and export original images and test data to ensure data integrity and security. 

Operator: Responsible for testing, self checking, correcting, generating electronic reports, submitting for review, and printing reports on approved documents for culturing dish colonies. 

Reviewer: Responsible for reviewing the test reports submitted by operators. Verify the data input and processing process, but have no authority to modify it; Review and return the suspicious report, and request the operator to retest it; The "approved" report will be archived, and neither the auditor nor the operator has the right to delete it again to ensure the originality and authenticity of the data.

Mainly based on electronic data, record: sample source, number, dilution, petri dish image, recognition effect, count value, statistical tools used, parameter settings, correction status, to ensure complete record information. 

Meet quality audit requirements, and the stored electronic data can be printed and output in PDF or Excel format

Adopting multi-user login management, the names of all operators and auditors are automatically recorded in the operation process and test report by the system; All operation dates and review dates are automatically generated by the computer to avoid errors or forgeries. 

The entire operation process, including colony images, dish size, sample dilution, statistical tools, parameters used, total bacterial count obtained from testing, self checked and corrected total bacterial count, etc., is automatically recorded in the database by the computer and cannot be modified by the operator, providing all real data for subsequent audits.

The test report that has been "approved" will automatically generate electronic signatures for the operator and auditor's accounts, and an anti-counterfeit "approved" watermark will be printed on the report.

The "reviewer" opens the "waiting for review" test record, and the computer automatically restores the entire process and testing environment of the operator, including: images of the culture dish measured at that time, test results, dish size, sample dilution, statistical tools and parameters used, total bacterial count obtained from the test, correction status

By reproducing the testing environment and testing process, the reviewer can trace all the operations of the operator, verify the accuracy of the test results, and achieve the purpose of audit tracking.