Modern hematology analysis requires advanced technology to identify cell types within a blood sample and count each cell. Determining the blood count may require a staining process with the use of a specialized light and dye. Let’s review a few tech elements simplifying the blood analysis process.
Mapping Cells
New technology offers an efficient method for generating data while plotting cells. All type-specific cells contain like traits. These cells are mapped according to location. The hematology analyzer accounts for the cells in each location. After counting the number of cells per population, the analyzer develops the blood count. It is a complex process requiring high-level technology to complete.
Analyzing Modules
Analyzing modules provide for accurate cell counting. Numerous modules count individual cell types. One may count red blood cells, while another counts the white after separating the red with a specialized solution.
Acquiring Data
New technology measures each cell with the use of scattered light. Known as VCSn, the process reviews cellular elements. Modern hematology analyzers quantify vast amounts of data from blood samples. This information provides a roadmap for understanding the state of each patient’s blood sample by tracking cellular characteristics for classification.
Cell Differentiation
New hematology technologies allow for using angles of light to overcome cell interference during the analysis. In the white blood cell populations, platelets, parasites, or clumps may interfere with the analyzer’s accuracy. By viewing detailed plots of the particle patterns, the new analyzers can find and eliminate issues related to interference. These new methods of differentiating between particles in each region are crucial to the blood analysis process.
Data Aggregation
By combining data with complex mathematics, modern hematology analyzers use information from various sources to sort through patterns within the cellular landscape. These patterns are identified with the help of multiple modules and the aggregation of cell data. This aggregation of cell data allows for amending results to reflect a more accurate analysis. Such advanced processes eliminate the impact of interfering particles on cellular analysis.
New technology enhances the way the hematology analyzer processes cellular data. Providing a wide range of ways to separate, map, and differentiate between cell populations, the technology offers new methods for improving the accuracy of hematology analysis results. From mapping cell locations to identifying interfering elements within the cellular landscape, the tech blazes a new path for professionals in the hematology field.
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