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The paper presents a brief review of methodologies and applications based on the spontaneous and stimulated Raman scattering in telecommunication, thermography and biomedicine. We present the results on cancer biodiagnostics by Raman imaging based on the spontaneous Raman scattering. We showed that combined Raman imaging based on spontaneous Raman scattering and AFM are capable of monitoring biomechanics of tumor vascularity, which is markedly heterogeneous with densely vascularized areas supplying oxygen and nutrients to rapidly growing parts of the tumor. The experimental evidence provides greater understanding of the biomechanics of cancer cell and tissue deformability and its interactions with the extracellular matrix environments offering enormous potential for significant new developments in cancer diagnostics, therapy and drug treatment.
In this work the inference performed on DNA molecules is considered. The process known as self-assembling of DNA strands is fundamental to achieve longer chains of molecules encoding knowledge base. By proper organization of this process any logic operations can be accomplished. In particular, systems based on decision trees may be easy assembled. A severe problem of nano-systems is to provide communication between nano-world and real-world. To solve this problem it is proposed to make use of colorimetric change phenomenon. Here an inference procedure is proposed that allows to check the knowledge base in form of decision tree. Although DNA strands react in the nano-world, due to optical read-out the inference result is attained quickly and easy. Thus, complicated and expensive operations of genetic engineering laboratory are eliminated.
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