Tissue engineering, rapidly developing branch of bioscience, is widely adopted for the purposes of the tissue growing
using the substrate materials. Three-dimensional porous scaffolds possess a great opportunity for the directional growth
of the cells and for the supplying them with nutrients. However, the complex porous structure of the scaffolds creates
difficulties for the measurements and control of nutrients flow. We applied optical coherence tomography (OCT) for
imaging of the scaffold structure. We also investigated the possibility of using Doppler OCT to monitor the flow velocity
distribution within the scaffold. The average scaffold's pore diameter has been estimated using electron microscopy. We
show that with Doppler OCT it is possible to monitor complex micro-flow and estimate the shear stress (i.e. enhancing
factor of cell growing) acting on the cells within the scaffold and to find the optimal input flow rate, consequently.
Nowadays the artificial neural network (ANN), an effective powerful technique that is able denoting complex input and
output relationships, is widely used in different biomedical applications. In present study the applying of ANN for the
determination of characteristics of random highly scattering medium (like bio-tissue) is considered. Spatial distribution
of the backscattered light calculated by Monte Carlo method is used to train ANN for multiply scattering regimes. The
potential opportunities of use of ANN for image reconstruction of an absorbing macro inhomogeneity located in topical
layers of random scattering medium are presented. This is especially of high priority because of new
diagnostics/treatment developing that is based on the applying gold nano-particles for labeling cancer cells.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.