The methods for building the anatomically accurate, multimodality phantom were described in this work. All multimodal data are made available freely to the image processing community (http://pvabrain.inria.fr). We believe the phantom images could allow for the validation and further aid in the development of novel medical image processing techniques.
The
development of artificial receptors for efficient recognition
of analytes in water is a challenging task. Homooxacalix[3]arene-based
receptor 1, which is selective toward primary ammoniums
in organic solvents, was transferred into water following two different
strategies: direct solubilization and micellar incorporation. Extensive 1H NMR studies showed that recognition of ammoniums is only
observed in the case of micellar incorporation, highlighting the beneficial
effect of the microenvironment of the micellar core. The selectivity
of the system for primary ammoniums over secondary and tertiary ones
was also maintained. The hydrophobic effect plays an important role
in the recognition properties, which are counterion-dependent due
to the energy penalty for the dissociation of certain ammonium salts
in the apolar micellar core. This study shows that the straightforward
self-assembly process used for the encapsulation of artificial receptors
in micelles is an efficient strategy for developing water-soluble
nanosized supramolecular recognition systems.
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