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There is an unmet need to combine morphological information with protein expression analysis coming from consecutive tissue sections.
This addresses the need for integration of morphological information with protein expression data allowing for a more detailed description of PCa.
Magnetic resonance imaging (MRI) of the female pelvis can provide morphological information with excellent tissue contrast and therefore can be used to demonstrate radiation-induced changes in the uterus.
Incorporating confocal microscopy [ 13], which is extensively used to obtain three-dimensional information, into conventional Raman spectroscopy provides an exciting opportunity for obtaining accurate chemical and morphological information with high spatial resolution [ 14].
The proposed method is both reliable and fast and therefore well suited for automatic segmentation and analysis of specific areas of interest, combining morphological information with protein expression data from three consecutive tissue sections.
Combining the morphological information with bioinformatic analysis has allowed us to identify new links between cell shape and genes previously implicated in a variety of human diseases, including Huntington's disease, Wilm's tumour, mental retardation, and Down syndrome.
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Radiological modalities, especially CT, mainly provide morphological and structural information with high spatial resolution covering large volumes.
In PET, the requirements of quantitative and spatial correlation of the measured signal to the activity distribution are fulfilled by combining the PET functional information with the morphological information obtained with computed tomography (CT).
Furthermore, structural analysis of the matrix with MPLSM confirmed previous morphological information obtained with electron microscopy [ 48], elucidating changes in the structure-function relationship, such as collagen fiber misalignment and matrix voids, that help explain the reduced mechanical properties associated with tissue unloading (i.e. disuse).
Combining MBF quantified with PET and functional and morphological information obtained with MRI is promising and will allow for a more comprehensive assessment in cardiac disease in a single patient visit.
We use smooth particle hydrodynamical simulations (SPH) with chemo-photometric implementation which provide dynamical and morphological information together with the spectral energy distribution (SED) at each evolutionary stage.
Related(17)
molecular information with
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