Characterization of malolactic bacteria isolated from Aosta Valley wines and evidence of psychrotrophy in some strains.

AIM: A survey on indigenous malolactic bacteria populations isolated from wines produced in 13 different wineries of Aosta Valley, the highest vine-growing area in Europe, was carried out in order to characterize the dominant strains in spontaneous malolactic fermentation (MLF) and to reveal the appearance of psychrotrophic ones. METHODS AND RESULTS: Fifty-four isolates were identify by ITS rDNA region analysis and partial sequencing of 16S rDNA gene: 80% were ascribed to Oenococcus oeni while the remaining 20% were attributed to Pediococcus damnosus species. The genetic diversity of 43 O. oeni isolates was investigated through PFGE analysis after ApaI and SfiI restriction: 28 different pulso-types were discriminated at a level of similarity of 90%. In general, the MLF was led by more than one strain simultaneously. No connection between genotype and grape variety or vine-training system or geographical site of isolation was observed. The histidine decarboxylase gene was not found in any isolate. Pediococci proved to be more resistant than oenococci to lysozyme. Three O. oeni strains (2A1, 6A2 and 11A4) were able to develop at 10°C in Petit Rouge wine. CONCLUSIONS: Psychrotrophy is a phenotypic trait present in O. oeni species and it may be possible to select strains for the management of MLF in cold climate territories where this biologic transformation is very difficult to control. SIGNIFICANCE AND IMPACT OF THE STUDY: The natural emergence of strains able to perform the MLF at 10°C in wine is a new finding, interesting because it confirms the ecological ability of O. oeni species to adapt itself to environmental conditions by strain phenotype variations. It can be also a starting point for more sustainable oenological practices, since it would be alternative to the conditioning systems of the tanks or of the wineries where they are costly in terms of investment and energy consumption.

A Rendering Engine for Integral Imaging in Augmented Reality Guided Surgery.

In the field of image-guided surgery, Augmented Reality wearable displays are a widely studied and documented technology for their ability to provide egocentric vision together with the overlap between real and virtual content. In particular, optical see-through (OST) displays have the advantage of maintaining visual perception of the real world. However, OST displays suffer from vergeance-accomodation conflict when virtual content is superimposed on real world. Furthermore, the calibration methods required to achieve geometric consistency between real and virtual are inherently error-prone. One of the solutions, already studied, to these problems is to use of integral imaging displays. In this paper we present an easy and straightforward real-time rendering strategy implemented in modern OpenGL to show the 3D image of a virtual object on a wearable OST display deploying the integral imaging approach. Clinical Relevance- The algorithm proposed open the way towards more effective AR surgical navigation in terms of comfort of the AR experience and accuracy of the AR guidance.