Single cell manipulation techniques have important applications in laboratory and clinical procedures such as intracytoplasmic sperm injection (ICSI) and polar body biopsy
for preimplantation genetic diagnosis (PGD). Conventionally, manipulation of cells conducted in these procedures have been performed manually, which entails long training hours and stringent skills. Conventional single cell manipulation also has the limitation of low success rates and poor reproducibility due to human fatigue and skill variations across operators. This research focuses on the integration of computer vision microscopy and control algorithms into a system for the automation of the following single cell manipulation
techniques: (1) sperm immobilization, (2) cell aspiration into a micropipette, and cell positioning inside a micropipette, and (3) rotational control of cells in three dimensions. These automated techniques eliminate the need for significant human involvement and long training. Through experimental trials on live cells, the automated techniques demonstrated high success rates.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OTU.1807/31325 |
| Date | 14 December 2011 |
| Creators | Leung, Clement |
| Contributors | Sun, Yu |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
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