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Fungal endophytes have been isolated from almost every vascular plant studied and much has been written about their role and ecology. In this paper we review these aspects, but also review the role of molecular techniques in endophyte identification, the possible relationship with host specificity of fungal saprobes and suggest future areas for study.
A primary motivation for multi-modal imaging is to improve reconstructions for low resolution functional modalities using high resolution structural information. Most such approaches assume that the anatomic and functional images share a common physical structure. For fluorescence molecular tomography (FMT), however, this may be only approximately valid. We thus present and analyze a regularization...
We examine approaches to the incorporation of anatomic structural information into the inverse problem of fluorescence molecular tomography (FMT). Using an appropriate relationship between anatomic and reconstruction image resolution, we build an inverse problem parameterized along the anatomical segmentation. These values serve as the basis for two new regularization techniques. The first regularizes...
We examine a statistical solution to the problem of fluorescence molecular tomography (FMT) using the Born ratio. Experimentally verified noise models for the fluorescence and excitation signals are combined to generate a stochastic model for the Born ratio. This model is then utilized within a maximum likelihood (ML) framework to obtain a fixed point iteration about a linear least squares problem...
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