Lift-off assisted patterning of few layers graphene

Graphene and 2D materials have been exploited in a growing number of applications and the quality of the deposited layer has been found to be a critical issue for the functionality of the developed devices. Particularly, Chemical Vapor Deposition (CVD) of high quality graphene should be preserved without defects also in the subsequent processes of transferring and patterning. In this work, a lift-off assisted patterning process of Few Layer Graphene (FLG) has been developed to obtain a significant simplification of the whole transferring method and a conformal growth on micrometre size features. The process is based on the lift-off of the catalyst seed layer prior to the FLG deposition. Starting from a SiO2 finished Silicon substrate, a photolithographic step has been carried out to define the micro patterns, then an evaporation of Pt thin film on Al2O3 adhesion layer has been performed. Subsequently, the Pt/Al2O3 lift-off step has been attained using a dimethyl sulfoxide (DMSO) bath. The FLG was grown directly on the patterned Pt seed layer by Chemical Vapor Deposition (CVD). Raman spectroscopy was applied on the patterned area in order to investigate the quality of the obtained graphene. Following the novel lift-off assisted patterning technique a minimization of the de-wetting phenomenon for temperatures up to 1000 °C was achieved and micropatterns, down to 10 µm, were easily covered with a high quality FL

In silico coronary wave intensity analysis:application of an integrated one-dimensional and poromechanical model of cardiac perfusion

Coronary wave intensity analysis (cWIA) is a diagnostic technique based on invasive measurement of coronary pressure and velocity waveforms. The theory of WIA allows the forward- and backward-propagating coronary waves to be separated and attributed to their origin and timing, thus serving as a sensitive and specific cardiac functional indicator. In recent years, an increasing number of clinical studies have begun to establish associations between changes in specific waves and various diseases of myocardium and perfusion. These studies are, however, currently confined to a trial-and-error approach and are subject to technological limitations which may confound accurate interpretations. In this work, we have developed a biophysically based cardiac perfusion model which incorporates full ventricular–aortic–coronary coupling. This was achieved by integrating our previous work on one-dimensional modelling of vascular flow and poroelastic perfusion within an active myocardial mechanics framework. Extensive parameterisation was performed, yielding a close agreement with physiological levels of global coronary and myocardial function as well as experimentally observed cumulative wave intensity magnitudes. Results indicate a strong dependence of the backward suction wave on QRS duration and vascular resistance, the forward pushing wave on the rate of myocyte tension development, and the late forward pushing wave on the aortic valve dynamics. These findings are not only consistent with experimental observations, but offer a greater specificity to the wave-originating mechanisms, thus demonstrating the value of the integrated model as a tool for clinical investigation

A feature-based morphing methodology for in-vivo strain assessment in biological structures

It is often important, for diagnostic purposes, to evaluate quantitatively the motion undergone by a biological structure, starting from a viable tomographic imaging technique, such as Computed Tomography (CT) or Magnetic Resonance (MR). This is often associated with the need of the clinical personnel to perform an evaluation of a risk factor associated with pathology, e.g. ventricle performance [1]. As of today, the problem has been approached by using the magnetic resonance (MR) tagging technique [2] or experimentally by determining the location of a series of surgically implanted markers in each temporal phase [3]. The latter procedure is naturally very invasive, while MR tagging requires the use of sophisticated MR sequences that are rarely employed in standard care. Multi-detector row computer tomography (CT) scanners (routinely used in cardiac pathology diagnosis) as well as routine cine-MR sequences, on the other hand, allow dynamic imaging of the heart and large vessels with cardiac gating. In order to exploit these dynamic sequences, we have developed a tag-less method to estimate local strains from dynamic tomography gated images.</jats:p