Regione Toscana

Cultural conservation

Vegetation Science Group

The scientific interests of the research group of Vegetation Scienceinclude botany,vegetation scienceandconservation biology. Our focus is on plant communities and their habitat. The research revolves aroundbiodiversityand includes an understanding ofhabitatsat different spatial scales.

2024-11-29T16:32:33+00:0029 November 2024|

Agrifood and Cultural Heritage

The group works in the following areas: Agri food chemistry for analysis of the inorganic component, metabolomics and characterization of the geographical origin. chemistry of cultural heritage for restoration, conservation diagnostics and study of materials and art objects

2024-12-17T10:44:04+00:0029 November 2024|

SOPaC – Sustainability and Employability of/in Cultural Heritage

The research group works on: sustainable economy, new technologies, communication, digital heritage, and applied sciences to cultural heritage are the five interdisciplinary themes that are: sustainable economy of cultural heritage. new technologies in cultural heritage research. communication of cultural heritage. digital heritage. cultural heritage and applied sciences

2024-12-17T10:44:04+00:0029 November 2024|

MeB

The MeB project, resulted from the collaboration between the Scuola Normale Superiore and the Bargello Museums. Its main objective was the development of shared, applied research, aimed at the modernization of the scientific analysis processes and art-historical study of small-scale metal production of the Early Modern age. Moreover, it aimed at elaborating new operational solutions of potential interest for similar cultural contexts, also throughout the use of 3D laser scans.

2024-11-29T16:32:24+00:0020 June 2023|

Method for geometric calibration of cone-beam tomography equipment and equipment implementing that method

The purpose of the present invention is to provide a method for geometric calibration of a cone-beam tomography equipment, in particular CT or pinhole-SPECT, that derives the misalignment parameters from the scan data of a generic object, thus without resorting to specific test-objects or dummies.

2024-10-25T13:41:40+00:0018 June 2021|