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The Optical Stretcher: Towards a Cell Sorter Based on High-Content AnalysisFaigle, Christoph 17 March 2016 (has links)
The mechanical parameters of biological cells are relevant indicators of their function or of disease. For example, certain cancerous cells are more deformable than healthy cells. The challenge consists in developing methods that can measure these parameters while not affecting the cell. The Optical Stretcher is a microfluidic system that deforms single suspended cells without contact using lasers and determines the cells’ viscoelastic properties. The advantage compared to standard methods of molecular biology is that cells do not need to be treated with additional markers. Basic versions of the Optical Stretcher have existed for some years. These allow the measurement of homogeneous cell populations. Up until now, it was only possible to calculate average population values of compliance. To characterize inhomogeneous populations however, it is necessary to consider each single cell and measure additional mechanical or optical parameters such as the refractive index.
This work highlights various extensions of the Optical Stretcher. A novel procedure, including an improved image processing algorithm, is presented to analyze mechanical data in real time. In combination with measurements of the optical refractive index, single cells can now be characterized in more detail. Moreover, it is now possible to extract interesting subpopulations that can be further examined with molecular biology techniques. Depending on the intended purpose, novel devices for cell measurements, based on microfluidic and optical considerations, are presented. The fundamental concept involves microstructured chips that can be integrated into a commercial microscope. These chips offer the possibility of separating measured cell populations according to their mechanical properties. This separation, including mathematical classification, is demonstrated. These methods are tested with cell types of differing mechanical properties to prove their applicability in practice. Single cells are sorted into their respective population of origin. These novel methods offer the possibility of a versatile device to be applied in biophysical research.
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