State of Art Part 3

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STATE OF THE ART (Part 3 of 3)

These skills have been applied to various sectors including medicine, with the processing of radiographic images, CAT scans, MRI and PET, and the observation of the Earth, with particular reference to interferometric SAR images. Tomographic technology, which acquires two-dimensional data on progressively raised planes, can be easily and productively integrated with the use of inverted microscopes with motorized focus or motorized focus plus motorized x-y handle stages.

The other special characteristic of the department of engineering of innovation is its outstanding research record in the field of Grid Computing, which has interesting implications for the management of scientific data distributed over a number of sites. This helps to optimize the use of available hardware, [48] which can be managed by the user efficiently and transparently, ensuring maximum usability by the scientific community.

Concerning the current state of knowledge in the field of microscopy supported by image analysis systems, the project intends to move in two directions; on the one hand it will develop a specific software for the determination of cellular bio-volume and the surface area of the algal cells, starting from 2D images, which takes account of the most recent scientific developments concerning both the sets of geometric models proposed and the proposed and tested suggestions for estimating the third dimension.

The software will be easy to use and available on the market and usable in routine analysis and together with instrumentation commonly available in the laboratory for the analysis of phytoplankton. Moreover the project will experiment with the new technologies in the field of 3D image analysis, with the aim of achieving a more accurate and faster estimate of the bio-volume and surface area of the algal cells. The project also aims to create the software for classification of health status based on estimated values of non-taxonomic descriptors of phytoplankton guild, the latter being identified in the descriptors of the size-abundance distributions.

The way in which these descriptors will be estimated will take account of scientific evidence that will study the statistical parameters of the size-abundance distributions (Mean, Mode, median, Kurtosis and Skewness, and line slope and intercept in the case of normalized distributions) with a view to evaluating their potential as descriptors [16][20][32][33][27][28][29][42][45]. The model for classifying the ecological status of marine and transitional ecosystems criteri will take in account of recent laws and regulation of “resource water” (D.L. 152/99; WFD 2000/60/CE).

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