![]() Insufficient lysis of RBCs due to the lack of stromatolyser solution resulted in the entry of RBCs into the WBC counting block, causing a spuriously high count. This indicates a technical error in counting, which in this case was caused due to an empty stromatolyser bottle in the analyser machine. The histogram here shows a sliding curve that does not correspond to the usual WBC distribution. The WBC count in case 3 was 3.49 million per mm 3, which is in the range of RBC count. The sizing and counting of blood cells is based on this measurable change in the electrical impedance.Ī) WBC histogram of case 3 showing sliding curve b) Empty bottle of stromatolyser solution is seen when the outer cover of the analyser was opened. The passage of cells through the current changes the impedance between the terminals (Coulter principle). Cells are counted by passing a dilute solution of the blood through an aperture across which an electrical current is flowing. ![]() The size of the WBCs after lysis corresponds to the size of their nuclei hence neutrophil is the largest after lysis even though originally monocyte is the largest WBC. After lysis, only the nuclei of the WBCs along with a thin rim of cytoplasm remains, which are counted and plotted in the WBC histogram. This solution is composed of an organic quarternary ammonium salt (8.5 g/L) and sodium chloride (0.6 g/L). All the red cells in the blood directed towards the WBC counting block are lysed first using the stromatolyser solution. RBCs and platelets are counted in the same block whereas, WBCs are counted in a separate block. There are three detector blocks in an automated haematology analyser. The automated blood cell counting process is very fast and can process up to 60-80 blood samples in an hour. If you want to share your experiences regarding how to draw a Scatter Diagram, you can use the comments section.Principle of Automated Haematology Analyser The fishbone diagram enables to define the root cause of a problem where the scatter plot helps to look for a relationship between variables. Some PMP aspirants confuse the fishbone (Ishikawa ) diagram with the scatter plot. In some cases, both of the two variables may be affected by a third variable. If the data don’t cover a wide enough range, the relationship between the variables is not apparent. Scatter diagrams are used to understand the relationships between variables. If the variables are closer to each other, this means that there is a strong (high degree of) correlation between the variables. It can also be called “Scatter Diagram with Low Degree of Correlation”. If the variables are a bit closer to each other, this means that there is a weak correlation between them. Positive Correlation Strong and Weak Correlation The below chart illustrates the same data as a Scatter Plot. The below table shows the working hours and accidents within a project. “Working hours” is the independent data and the number of accidents depends on the working hours. He notices that as the working hours increases, the number of accidents also increase. The scatter graph of all the data in the research helps the HSE manager to understand the relationship between the two variables. The HSE manager plots the data in a scatter plot by assigning the “working hours” to the horizontal axis (X-axis) and the “number of accidents” to the vertical axis (Y-axis). Let’s review the following scatter diagram example to understand the topic better.Īn HSE manager collects data for the two variables below in order to understand the relationship between the number of accidents and long working hours within a construction project. In other words, you use the scatter plots to demonstrate how two variables are correlated. ![]() They are used to determine the relationship between two variables. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |