ABSTRACT
Twitching motility is very important for Pseudomonas aeruginosa in the adaptation of surface environment and in the 3-D structure formation of mature biofilm. To quantitatively characterize twitching motility in situ, we developed a method by combining high-throughput data acquisition, automatic image processing and database establishment. This method is based on single cell analysis and big data visualization. A periodic relaxation of 0.9 second was resolved during slingshot motility analysis. Twitching motilities of bacteria under addition of two quorum sensing signaling molecules were studied, cells moved faster after signal addition. This method may help understand the molecular mechanism and regulatory circuits of twitching motility.
ABSTRACT
Da Vinci robotic surgical system leads the development of minimally invasive surgical techniques. By using Da Vinci surgical robot for minimally invasive surgery, it brings a lot of advantages to the surgeons. Since 2008, Da Vinci surgeries have been performed in 14 hospitals in domestic cities such as Beijing and Shanghai. Until the end of 2012, 3 551 cases of Da Vinci robotic surgery have been performed, covering various procedures of various surgical departments including the department of general surgery, urology, cardiovascular surgery, thoracic surgery, gynecology, and etc. Robotic surgical technique has made remarkable achievements.