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Several artificial intelligent methods, including support vector regression (SVR), artificial neural networks (ANNs), and partial least square (PLS) are used for the multivariate calibration in the determination of the three aromatic amino acids (phenylalanine, tyrosine and tryptophan) in their mixtures by fluorescence spectroscopy. The results of the leave-one-out method show that SVR perform better...
Visual monitoring of membrane potential would be extremely useful for monitoring cell health and activity in any cultured neuron system. On long time scales, cell health in response to depolarization and/or hyperpolarization would be able to be quantified. If the reporter has sufficient time resolution, action potentials may be resolved, thus allowing for optical recordings from ensembles of neurons...
We propose an algorithm for the classification of fluorescence microscopy images depicting the spatial distribution of proteins within the cell. The problem is at the forefront of the current trend in biology towards understanding the role and function of all proteins. The importance of protein subcellular location was pointed out by Murphy, whose group produced the first automated system for classification...
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