Achieving Automated Organelle Biopsy on Small Single Cells Using a Cell Surgery Robotic System
A robotic surgery system to achieve automated organelle biopsy of single cells with dimensions of less than 20 µm in diameter is presented. A microfludic device is used to pattern cells in 1D array. A sliding mode nonlinear controller is developed to enable extraction of organelles, such as the mitochondria and the nucleus, from single cells with high precision. An image processing algorithm is also developed to automatically detect the position of the desired organelle. Experiments of automated extraction of mitochondria and nucleus from human acute promyelocytic leukemia cells and human fibroblast cells are performed. The results presented here have revealed that the proposed approach of automated organelle biopsy on single small cells is feasible.
Characterization of a Honeycomb-like Scaffold with Dielectrophoresis-based Patterning for Tissue Engineering
We designed a scaffold with honeycomb-like pores to mimic the geometry of native bone tissues, and used Dielectrophoresis (DEP) technology to promote cell seeding during the reconstruction of an artificial bone tissue. The combined honeycomb-like scaffold and the dielectrophoresis-based patterning technology was verified to be a promising tool to enhance seeding and patterning of a wide range of cells for the development of high-quality artificial tissues.