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Title: Imaging regenerating bone tissue based on neural networks applied to micro-diffraction measurements

We monitored bone regeneration in a tissue engineering approach. To visualize and understand the structural evolution, the samples have been measured by X-ray micro-diffraction. We find that bone tissue regeneration proceeds through a multi-step mechanism, each step providing a specific diffraction signal. The large amount of data have been classified according to their structure and associated to the process they came from combining Neural Networks algorithms with least square pattern analysis. In this way, we obtain spatial maps of the different components of the tissues visualizing the complex kinetic at the base of the bone regeneration.
Authors:
;  [1] ;  [2] ;  [3] ;  [4] ; ;  [5] ; ;  [6]
  1. Institute of Crystallography, CNR, via Salaria Km 29.300, I-00015, Monterotondo Roma (Italy)
  2. Centro Fermi -Museo Storico della Fisica e Centro Studi e Ricerche 'Enrico Fermi', Roma (Italy)
  3. Deutsches Elektronen-Synchrotron DESY, Notkestra├če 85, D-22607 Hamburg (Germany)
  4. European Synchrotron Radiation Facility, B. P. 220, F-38043 Grenoble Cedex (France)
  5. Istituto Nazionale per la Ricerca sul Cancro, and Dipartimento di Medicina Sperimentale dell'Università di Genova and AUO San Martino Istituto Nazionale per la Ricerca sul Cancro, Largo R. Benzi 10, 16132, Genova (Italy)
  6. Institute for Chemical and Physical Process, CNR, c/o Physics Dep. at Sapienza University, P-le A. Moro 5, 00185, Roma (Italy)
Publication Date:
OSTI Identifier:
22217769
Resource Type:
Journal Article
Resource Relation:
Journal Name: Applied Physics Letters; Journal Volume: 103; Journal Issue: 25; Other Information: (c) 2013 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; ALGORITHMS; BONE TISSUES; LEAST SQUARE FIT; MONITORING; NEURAL NETWORKS; PATIENTS; PLANT TISSUES; REGENERATION; SIGNALS; SKELETON; X RADIATION; X-RAY DIFFRACTION