Spectral analysis is an analytical technique used to characterize sequenced data by decomposing the data into a different domain that makes it easier to process and analyze the data. Spectral analysis is commonly used by chemists to analyze and measure the different chemical components present in a mixture. In meteorology, spectral analysis has been used to identify and classify cloud features, and similar applications exist to identify and classify features in MRI, ultrasound, and x-ray images for diagnostic purposes, among others.
There are many benefits to taking a spectral analysis approach for flow cyometry when compared to the conventional appraoch, including greater flexibility of dye choices, removal of autofluorescence from data and accomadation of a wide array of fluorochromes. Learn more in this white paper.
Learn More