Final answer:
In a VCS scatterplot, normal cell populations can be identified based on their position in relation to the forward- and side-scatter detectors. Clusters on the scatterplot correspond to different cell populations, with each peak representing a specific subset of cells that do or do not express certain characteristics.
Step-by-step explanation:
In a VCS scatterplot, normal cell populations can be identified based on their position in relation to the forward- and side-scatter detectors.
The forward scatter (y-axis) represents the number of cells, while the side scatter (x-axis) represents the fluorescence of each cell.
The scaling for the x-axis is logarithmic, with fluorescence intensity increasing by a factor of 10 for each unit increase.
Clusters on the scatterplot correspond to different cell populations.
For example, in the VCS scatterplot described, there are two peaks in the histogram.
The peak on the left represents the subset of the cell population that does not fluoresce, indicating that they are not bound by antibody and do not express CD8.
The peak on the right represents the subset of the cell population that shows fluorescence, indicating that they are bound by the antibody and do express CD8.