Vision Hema
Digital solution for automated blood smear analysis
Automated hematology system for blood smear analysis. Automated capture of blood cell microscopic images and classification of WBC, RBC and platelets. Morphological analysis of blood cells. Easy and convenient management of digital blood samples, analysis results and reports in a mutual digital environment.
Main benefits
- Automatic image gallery generation for blood cell microscopy
- Classification of WBC, RBC and platelets
- Quick verification of analysis results
- Morphological analysis of WBC and RBC
- Quality control and no “human error” factor
- Preparation of panoramic digital samples (option)
- Workflow automation and standardization
- A workplace for hematologic disorder diagnostics
- Lack of fatigue from routine work with the microscope
- Database stores all blood smear galleries and analysis results
- Possibility to use the system like a standard microscope
- Telemedicine and remote consultations with colleagues
Workflow automation and standardization
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Preparation of microscopic blood smear slides
One of the most important analysis stages in a laboratory is the preanalytical phase as it affects the speed and quality of the analysis process. Use standardized tools to prepare and stain a blood smear. |
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Automatic blood smear scanning and cell classification
Vision Hema scans a microscopic sample automatically along an adaptive path in the thin zone, collects data for analysis, sorts blood cells and saves results in the database. |
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Verification of WBC, RBC and platelets
The specialist is free from routine monotonous work. Analysis results are displayed in galleries of cells and arranged in groups. All you need to do is review and verify the results. |
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Report generation in accordance with modern requirements
Report is generated based on analysis results, which you can send to your colleagues by email or simply print out. |
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Secure and reliable date storage
Vision database stores all patient records, microscopic samples, analysis results, and reports. Information is shown in a form of a patient record with his/her analysis result. The system saves all data automatically, excluding any possibility of loosing valuable information. |
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Benefits of Internet connection
Connect several workplaces to a remote server and hold video conferences with colleagues from around the world, exchange analysis results, publish your research on specialized social networks. |
Analysis procedure
Use the benefits of automation to obtain more accurate results with less time and effort
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1. Prepare a microscopic sample, place it on the stage and start the analysis procedure. |
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2. The system will perform the complete analysis procedure automatically:
— scan the microscopic sample along an adaptive path in the thin zone
— collect data for analysis
— sort the blood cells
— save analysis results in the database |
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3. Proceed with data verification and cell morphology analysis. |
Blood cell classification
The system automatically locates and identifies over 20 blood cell types
WBC with differentiation into 11 groups:
— promyelocytes
— myelocytes
— metamyelocytes
— band neutrophiles
— segmented neutrophiles
— eosinophils
— basophiles
— lymphocytes
— monocytes
— plasmocytes
— undifferentiated (blast cells, promyeloblasts and myeloblasts)
Erythrocytes (normocytes, megalocytes, poikilocytes, anisocytes, etc.)
Platelets
Artifacts
Other
Cell galleries
WBC analysis
RBC analysis
Platelet analysis

Blood cells are captured with 40x and 100x objectives. You can set the number of cells collected.Set the number of blood cells to be examined. Increase analysis accuracy by setting it to 200 or 400 leucocytes.
Analysis results
Final results are displayed in the form of tables, graphs and text fields
Quantitative indicators

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WBC formula, %

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| Blood cell count results which are either entered manually or received from a hemocytometer automatically. |
Information on leucocyte differential count of 11 groups where percentage of leucocytes of each type is detected in the given sample. |
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RBC formula, %

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Cell morphology

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| Information on erythrocytes including the percentage of macrocytes, normocytes and microcytes, as well as erythrocytometry. |
Cell morphology includes parameters such as poikilocytosis, anisocytosis, anisochromia, polychromatophilia and other standard blood test parameters. |
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Erythrocyte diameter distribution

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Hemoglobin distribution

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| Erythrocytes mean diameter distribution. |
Hemoglobin distribution curve. |
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| Quality controlQuality control with statistical messages on smear defects or observation conditions, generated during sample input and analysis of results. |
Blood cell verification
- Control elements are presented as icons and are displayed only when required only.
- All images stored in the gallery are associated with a certain section in the object tree.
- Object tree is an organized customizable structure of cell types included in the differential count.
- View the gallery of blood cells classified into types.
- Verification of the classification is done in one click — and the object moves from one section to another.
- Correction of cytoplasm and nucleus segmentation.
- Repeated microscopic examination of objects displayed in the gallery.
- A detailed study of a single cell allows for a more comprehensive examination of the object of interest.
Morphological analysis
Statistics of morphometric parameters
Distribution histogram of morphometric parameters of a selected group of cells. Select a group of cells and set a morphometric parameter for the system to generate a distribution histogram.
Morphometric parameters:
— cell area
— mean diameter
— shape factor
— polarization index
— number of nucleus fragments
— nucleus area
— mean nucleus diameter
— nucleus shape factor
— nucleus polarization index
— nuclear cell ratio
— nuclear-cytoplasmic ratio
— nucleus bulging
— number of nucleus segments
— specific optical density of the nucleus and cytoplasm
Leucocyte distribution
Detection control
Scanning path and marks for detected leucocytes with a certain color for each type. Evaluation of sample preparation quality, its thickness and leucocyte distribution.
Quality control
Assessment of reproducibility and accuracy of results
Warnings about problems and errors, in order to correct the procedure of blood smear preparation or perform maintenance of the functional parts of the system.
Quality control is performed for the following parameters:
— WBC count after correction vs. manual count
— WBC count before correction vs. manual count
— WBC count before and after correction
— RBC count before and after correction
— WBC classification error matrix for all
— Separate WBC classification error matrices
— RBC classification error matrix for all
— Separate RBC classification error matrices
Image editor and atlas of digital samples
Image editor is used to manage and edit frames of a digital sample
There is a date, ID and name of every digital sample displayed in the editor. Select a sample in the gallery to display automatically all the its frames, that can be scaled freely.
Use the editor to perform the following tasks:
— import microscopic frames captured in external programs
— copy or move frames from one sample to another
— perform frame specific actions “Overlay” and “Wide focus”
Report generation
Professional report
Report is generated based on analysis results and includes all the information on the conducted examination:
— laboratory details
— patient information
— leucocytes count
— erythrocytes count
— leucocytes morphology
— erythrocytes morphology
— price-Jones curve (erythrocyte diameter distribution)
— hemoglobin distribution
Database
Reliable database
Vision database stores all patient records, microscopic samples, analysis results and reports. Information is shown in a form of a patient record with his/her analysis result. Possibility to assess quickly the dynamics in analysis results over a period of time.
The system saves all data automatically, excluding any possibility of loosing valuable information. Advanced data management tools, like filtering and sorting, will help you not to waste time on searching.
Connect multiple workplaces to one database, sharing a common information space. Import/export data to integrate into other information networks (LIS/HIS).
Main characteristics

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Motorized biological microscope with “infinitive” optics and Vision digital camera. Preview live video on a PC as well as capture a digital microscopic sample.
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Personal computer with Vision Hema software, high resolution monitor and color printer.
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Automatic blood smear scan, count and classification of blood cells: leucocytes, erythrocytes and platelets, including differential count into 11 groups.
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Morphological analysis of leucocytes and erythrocytes. Classification.
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Quality control assesses correct preparation of the blood smear and automatic functions of the system.
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Autofocus.
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Image editor of digital samples to work with frames of a digital sample.
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Atlas of microscopic objects is a customizable hierarchical database. Text comments to images in the atlas.
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Customizable reference guide of study objects.
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Report contains: information about the laboratory and patient, leucocytes count, erythrocyte count, cell morphology, Price-Jones curve and hemoglobin distribution.
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Report contains: information about the laboratory and patient, leucocytes count, erythrocyte count, cell morphology, Price-Jones curve and hemoglobin distribution.Database stores all digital samples and analysis results. Statistic handling, quick search and integration into other information networks (LIS/HIS). |