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. Copyright © 2011 Filippo Mattoli et al.
CITATION STYLE
Mattoli, F., Tiribuzi, R., D’Angelo, F., Di Girolamo, I., Quattrocelli, M., Montesano, S., … Orlacchio, A. (2011). Development of a new tool for 3D modeling for regenerative medicine. International Journal of Biomedical Imaging, 2011. https://doi.org/10.1155/2011/236854
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