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Filename Hyperspectral-Imaging.pdf
filesize 1.49 MB
Version 1
Date added October 31, 2014
Downloaded 2115 times
Category Biofuels, Energy Security, Transportation Energy
year 2009
author Patrick J. Cutler, David M. Haaland, and Paul J. Gemperline

Sandia bioimaging researchers have applied a novel method for fitting kinetic models to temporally resolved hyperspectral images of fluorescently labeled cells. This new method can be used to mathematically resolve pure-component spatial images, spectra, and reaction profiles. The scientists demonstrated this method on one simulated image and two experimental cell images labeled with fluorescent proteins. The researchers created a kinetic model of the compressed images by using a separable least-squares method. In keeping with the hypothesis that fluorophores are found in various cell environments, several first-order decays were combined to model the photobleaching processes for each observed fluorophore. After testing various kinetic-modeling mechanisms for the photobleaching processes, the most parsimonious and statistically sufficient model was used to prepare spatial maps for each fluorophore.