About Imaging Cytometry
What is imaging cytometry?
Imaging cytometry is the quantitative analysis of biologically relevant feature sets extracted from images of fluorescently labeled cells acquired through automated microscopy. Mathematical algorithms are applied to images to extract quantitative data on relevant cellular features. Similar to flow cytometry, quantitative cell-by-cell measurements are made allowing for subpopulation analysis. Additional capabilities include intracellular localization of molecules as well as morphological measurements.
How can you benefit from imaging cytometry?
The main benefits of quantitative image analysis are the ability to track and quantify the location of molecules within the cell and to determine the morphology of cells and intracellular objects. For example, spot detection algorithms allow for the possibility for measuring receptor internalization and trafficking. Object masks can generated to distinguish nuclei from cytoplasmic and membrane compartments allow for molecular translocation studies. Morphological features such as area, perimeter, length/width ratio, and kurtosis allow detailed moprhological characterization of cells in response to physiological stimuli.