[Pulmonary infection caused by Blastoschizomices capitatus]. / Infezione polmonare da Blastoschizomices capitatus.

Geotrichum capitatum, now known as Blastoschizomyces capitatus, can be responsible for several opportunistic infections (systemic infection or localized at lungs, liver, kidney, encephalitis or meningitis) in an immunocompromised host, especially in those patients affected by leukaemia or under immunosuppressive therapies. A 66-year-old woman with polimyosite under steroid and immunosuppressant therapy was hospitalized in ICU for an acute respiratory distress with moderate hypoxaemia and normocapnia. Pulmonary X-ray revealed a bilateral pneumonia. Hypoxaemia became severe 48 hours later and the patient underwent mechanical ventilation and empirical antibiotic therapy. Blood cultures, urine cultures and serological tests were negative, while yeast was identified by Gram's stain of bronchoaspirate. Before identifying the yeasts Fluconazole was added to therapy. At day 5 the clinical conditions remained severe and Candida spp were excluded: so Fluconazole was switched to liposomal Amphotericin B. At day 8 B. capitatus was identified. At day 26 the patient died of refractory respiratory insufficiency. B. capitatus infection is infrequent and its prognosis is severe, with a high mortality rate (>50%). Microbiological diagnosis requires time to characterize the yeast. At present no standard therapy is available although some authors report a good susceptibility to Amphotericin B and Voriconazole (100%), according to NCCLS guidelines.

Bio-Microfluidics Real-Time Monitoring Using CNN Technology.

A new non-invasive real-time system for the monitoring and control of microfluidodynamic phenomena involving transport of particles and two phase fluids is proposed. The general purpose design of such system is suitable for in vitro and in vivo experimental setup and, therefore, for microfluidic applications in the biomedical field, such as lab-on-chip and for research studies in the field of microcirculation. The system consists of an ad hoc optical setup for image magnification providing images suitable for acquisition and processing. The main feature of the optical system is the accessibility of the information at any point of the optical path. It was designed and developed using discrete opto-mechanic components mounted on a breadboard. The optical sensing, acquisition, and processing were all performed using an integrated vision system based on cellular nonlinear networks (CNNs) analogic (analog plus logic) technology called focal plane processor (FPP, Eye-RIS, Anafocus) that was inserted in the optical path. Ad hoc algorithms were implemented for the real-time analysis and extraction of fluidodynamic parameters in micro-channels. They were firstly tested on sequences of images recorded during in vivo microcirculation experiments on hamsters and then applied on images acquired and processed in real-time during in vitro experiments on two-phase fluid flow in a continuous microfluidic device (serpentine mixer, ThinXXS).

A cellular nonlinear network: real-time technology for the analysis of microfluidic phenomena in blood vessels.

A new approach to the observation and analysis of dynamic structural and functional parameters in the microcirculation is described. The new non-invasive optical system is based on cellular nonlinear networks (CNNs), highly integrated analogue processor arrays whose processing elements, the cells, interact directly within a finite local neighbourhood. CNNs, thanks to their parallel processing feature and spatially distributed structure, are widely used to solve high-speed image processing and recognition problems and in the description and modelling of biological dynamics through the solution of time continuous partial differential equations (PDEs). They are therefore considered extremely suitable for spatial-temporal dynamic characterization of fluidic phenomena at micrometric to nanometric scales, such as blood flow in microvessels and its interaction with the cells of the vessel wall. A CNN universal machine (CNN-UM) structure was used to implement, via simulation and hardware (ACE16k), the algorithms to determine the functional capillarity density (FCD) and red blood cell velocity (RBCV) in capillaries obtained by intravital microscopy during in vivo experiments on hamsters. The system exploits the moving particles to distinguish the functional capillaries from the stationary background. This information is used to reconstruct a map and to calculate the velocity of the moving objects.

Real time blood flow velocity monitoring in the microcirculation.

A real-time monitoring system based on the dual slit methodology for the characterization of the red blood cell velocity at the level of microcirculation has been developed. The analog photometric signals are acquired and processed using a hybrid hardware-software system that exploits a A/D conversion and an optimized correlation algorithm on an embedded system. It is implemented exploiting the resources of a general purpose board capable to extract the useful information from the noisy photometric signals, to process them, to show and save the results and, therefore, to make the experiments reproducible. Two different approaches to the crosscorrelation algorithm have been tested and their performances have been compared to each. The system has been tested in in vivo experiments on anaesthetized hamsters. Several microvessels have been observed and the results have been compared to the output of an analog crosscorrelator to verify their coherence.