Automated High-Productivity Microinjection System for Adherent Cells
Related Research Unit(s)
|Journal / Publication||IEEE Robotics and Automation Letters|
|Online published||13 Jan 2020|
|Publication status||Published - Apr 2020|
|Link to Scopus||https://www.scopus.com/record/display.uri?eid=2-s2.0-85079216249&origin=recordpage|
Automated microinjection systems for suspension cells have been studied for years. Nevertheless, microinjection systems for adherent cells still suffer from laborious manual operations and low productivity. This paper presents a new automated microinjection system with high productivity for adherent cells. This system enhances productivity through four approaches. First, cells are detected automatically to replace manual selections. Second, the injection paths of detected cells are optimized rapidly to save time. Third, the penetration depth is adjusted adaptively according to the moving plane of the dish holder plate. Finally, constant outflow-based injection is adopted to minimize clogging. The first three approaches aim to improve the injection speed, and the last one aims to extend the usage time of micropipettes. Experiments of massive injections on MC3T3-E1 cells are performed to evaluate cell detection efficiency, injection speed, success rate, and survival rate. Results confirm that the system allows injections of over 1500 cells in one hour without much training and preparation a priori.
- Biological cell manipulation, computer vision for other robotic applications, object detection, segmentation and categorization
IEEE Robotics and Automation Letters, Vol. 5, No. 2, 8957314, 04.2020, p. 1167-1174.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review