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Hemocytometers and Sedgewick Rafter counting chambers are two types of counting chambers. The hemocytometer has two gridded chambers in its middle, which are covered with a special glass slide when counting. A drop of cell culture is placed in the space between the chamber and the glass cover, filling it via capillary action. [1]
The proportion of the cells counted applies if not all inner squares within a set square are counted (i.e., if only 4 out of the 20 in a corner square are counted, then this term will equal 0.2). When counting large squares with a volume of 100 nanoliter (nL), a multiplication by 10000 leads to the desired cell count per milliliter.
In addition to clinical counting of blood cells (cell diameters usually 6–10 micrometers), the Coulter counter has established itself as the most reliable laboratory method for counting a wide variety of cells, ranging from bacteria (<1 micrometer in size), fat cells (about 400 micrometers), stem cell embryoid bodies (about 900 micrometers ...
The reticulocyte index (RI) should be between 0.5% and 2.5% for a healthy individual. [8] RI < 0.5% with anemia indicates maturation disorder, meaning loss of red blood cells, but also decreased production of reticulocytes (i.e., an inadequate response to correct the anemia) and therefore red blood cells. [2]
Expected cell count Adequate expected cell counts. Some require 5 or more, and others require 10 or more. A common rule is 5 or more in all cells of a 2-by-2 table, and 5 or more in 80% of cells in larger tables, but no cells with zero expected count. When this assumption is not met, Yates's correction is applied. Independence
A Coulter counter [3] is one of the other devices used for cell counting. Like CASY technology, this also uses electric current for cell counting. However, the difference between them is that there is an aperture called “sensing zone”, with a known volume of electrolyte in a coulter counter.
In microbiology, the multiplicity of infection or MOI is the ratio of agents (e.g. phage or more generally virus, bacteria) to infection targets (e.g. cell).For example, when referring to a group of cells inoculated with virus particles, the MOI is the ratio of the number of virus particles to the number of target cells present in a defined space.
In statistics, the phi coefficient (or mean square contingency coefficient and denoted by φ or r φ) is a measure of association for two binary variables.. In machine learning, it is known as the Matthews correlation coefficient (MCC) and used as a measure of the quality of binary (two-class) classifications, introduced by biochemist Brian W. Matthews in 1975.