TY - JOUR
T1 - Development of a new tool for 3D modeling for regenerative medicine
AU - Mattoli, Filippo
AU - Tiribuzi, Roberto
AU - D'Angelo, Francesco
AU - Di Girolamo, Ilaria
AU - Quattrocelli, Mattia
AU - Montesano, Simona
AU - Crispoltoni, Lucia
AU - Oikonomou, Vasileios
AU - Cusella De Angelis, Maria Gabriella
AU - Marconi, Peggy
AU - Orlacchio, Antonio
AU - Sampaolesi, Maurilio
AU - Martino, Sabata
AU - Orlacchio, Aldo
PY - 2011/1/1
Y1 - 2011/1/1
N2 - The effectiveness of therapeutic treatment based on regenerative medicine for degenerative diseases (i.e., neurodegenerative or cardiac diseases) requires tools allowing the visualization and analysis of the three-dimensional (3D) distribution of target drugs within the tissue. Here, we present a new computational procedure able to overcome the limitations of visual analysis emerging by the examination of a molecular signal within images of serial tissue/organ sections by using the conventional techniques. Together with the 3D anatomical reconstitution of the tissue/organ, our framework allows the detection of signals of different origins (e.g., marked generic molecules, colorimetric, or fluorimetric substrates for enzymes; microRNA; recombinant protein). Remarkably, the application does not require the employment of specific tracking reagents for the imaging analysis. We report two different representative applications: the first shows the reconstruction of a 3D model of mouse brain with the analysis of the distribution of the -Galactosidase, the second shows the reconstruction of a 3D mouse heart with the measurement of the cardiac volume.
AB - The effectiveness of therapeutic treatment based on regenerative medicine for degenerative diseases (i.e., neurodegenerative or cardiac diseases) requires tools allowing the visualization and analysis of the three-dimensional (3D) distribution of target drugs within the tissue. Here, we present a new computational procedure able to overcome the limitations of visual analysis emerging by the examination of a molecular signal within images of serial tissue/organ sections by using the conventional techniques. Together with the 3D anatomical reconstitution of the tissue/organ, our framework allows the detection of signals of different origins (e.g., marked generic molecules, colorimetric, or fluorimetric substrates for enzymes; microRNA; recombinant protein). Remarkably, the application does not require the employment of specific tracking reagents for the imaging analysis. We report two different representative applications: the first shows the reconstruction of a 3D model of mouse brain with the analysis of the distribution of the -Galactosidase, the second shows the reconstruction of a 3D mouse heart with the measurement of the cardiac volume.
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U2 - 10.1155/2011/236854
DO - 10.1155/2011/236854
M3 - Article
C2 - 21776249
AN - SCOPUS:80052650496
SN - 1687-4188
VL - 2011
JO - International Journal of Biomedical Imaging
JF - International Journal of Biomedical Imaging
M1 - 236854
ER -