Browsing Computing by Publisher "American Scientific Publishers"
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Analysis of colchicine-induced effects on hepatoma and hepatpcyte cells by atomic force microscopyBiomechanical properties of cells are altered by many diseases. Cancer cell metastasis is related to the properties such as the cell stiffness that influences cell proliferation, differentiation and migration. In this paper, we used an atomic force microscope to analyze the colchicine-induced effects on the mechanical properties of hepatocyte (HL-7702 cells) and hepatoma cells (SMCC-7721 cells) in culture at the nanoscale. The cells were exposed to a solution with a normal dose of colchicine for two, four and six hours. Surface topographic images showed that colchicine decreased the stability of the cytoskeleton. After the same six-hour treatment in a solution with a normal dose of colchicine, the biomechanical properties of HL-7702 cells were almost unchanged. However, the stiffness and the adhesion force of the SMCC-7721 cells were clearly increased (more than twofold of the normal values), especially after four hours. The deformability of SMCC-7721 cancer cells was significantly decreased within the six-hour treatment in the solution with a normal dose of colchicine. Analysis of the biomechanical properties of post-treatment hepatoma cells provided a complementary explanation for the mechanism of action of colchicine on cells at the nanoscale. This method is expected to allow the monitoring of potential metastatic cancer cell changes, thus preventing the emergence and the transmission of disease, and improving the diagnosis of cancer.
Tunable phantoms and their verificationDigital phantoms are very important for body area networks and other biomedical applications. However, it is important to note that most existing phantoms are static, including 3D scanned and voxel models. Recent research has revealed that tunable phantoms are still very necessary for body area networks since various postures should be considered. In this paper, parameterized digital phantoms are generated from 2D images. The train of thought and results presented in the paper are worth reference for phantom researchers.