The introduction of fluorescence microscopy technique has added the ability to examine cell condition and function in addition to structure in research and clinical diagnosis methods such as immunochemistry. However, interpretation of these images is often subjective due to limitations in human vision to distinguish subtle color differences particularly due to spatially overlapping emissions. Hyperspectral imaging data-cubes when combined with image processing techniques such as spectral unmixing and classification, enables such features (i.e. distinguishing tumor margins) to be easily visualized and identified.
This white paper sponsored by HinaLea Imaging.