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According to scatter characteristics, PolSAR image classification methods can be divided into two categories: the classification method based on statistical model and the polarimetric target decomposition method.
PMN were identified based on their forward and sideward scatter characteristics to avoid fluorescence compensation corrections and aspecific activation of neutrophils by fluorescent cell-specific antibodies.
Viable cells were gated using forward and side scatter characteristics.
Dead cells were excluded by forward and side scatter characteristics.
Monocytes were identified by forward scatter and side scatter characteristics (FSC/SSC).
Beads were distinguished from the J774A.1 cells according to their forward and side scatter characteristics (Fig. 3A vs. 3C; regionion: J774A.1 cells).
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Neutrophils were gated using forward side-scatter characteristics.
Cells showed similar side- and forward-scatter characteristics.
Dead cells were excluded on the basis of side- and forward-scatter characteristics.
For each measurement, cells were acquired based on forward- and side-scatter characteristics and CD14 expression.
T cell populations were identified based on forward and side-scatter characteristics and expression of CD3.
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