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We present a microrobotic platform that combines MEMS-based capacitive force sensing technology, a dual-stage positioning system and a real-time control and acquisition architecture with computer vision automation to manipulate and mechanically characterize growing plant cells. The topography accuracy of the system, using a silicon wafer sample is measured to be 28 nm(1σ, 200Hz). With an SI-traceable...
Understanding the process of cellular morphogenesis requires the characterization of local mechanical properties of living cells in situ. For this purpose, an automated microrobotic system, the Cellular Force Microscope (CFM) has been developed. Its suitability for single cell characterization has been reported in previous work and extensive use on characterization of both single cells and tissues...
Electromagnetic systems for in vivo microrobot steering have the potential to enable new types of localized and minimally invasive interventions. Accurate control of microrobots in natural fluids requires precise, high-bandwidth localization and accurate knowledge of the steering system's parameters. However, current in vivo imaging methodologies, such as fluoroscopy, must be used at low update rates...
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