Title
Automated cell manipulation: Robotic ICSI
Abstract
This paper is the first report of robotic ICSI (intracytoplasmic sperm injection). ICSI is a clinical procedure performed worldwide in fertility clinics, requiring pick-up of a single sperm and insert it into oocyte (i.e., an egg cell). Since its invention 20 years ago, ICSI has been conducted manually by a handful of highly skilled embryologists; however, success rates vary significantly among clinics due to poor reproducibility and inconsistency across operators. We leverage our work in robotic cell injection to realize robotic ICSI and aim ultimately, to standardize how clinical ICSI is performed. This paper presents some of the technical aspects of our robotic ICSI system, including a cell holding device and motion control and computer vision algorithms. The system performs visual tracking of single sperm, robotic immobilization of sperm, aspiration of sperm with pico-liter volume, and insertion of sperm into an oocyte with a high degree of reproducibility. The system requires minimal human involvement (requiring only a few computer mouse clicking), and is human operator skill independent. Using the hamster oocyte-human sperm model in preliminary trials, the robotic system demonstrated a high success rate of 90.0% and survival rate of 90.7% (n=120).
Year
DOI
Venue
2011
10.1109/ICRA.2011.5980241
ICRA
Keywords
Field
DocType
medical robotics,visual tracking,robotic cell injection,cellular biophysics,motion control,computer vision algorithms,sperm aspiration,hamster oocyte-human sperm model,robotic icsi,robotic immobilization,reproducibility,intracytoplasmic sperm injection,tracking,fertility clinics,manipulators,pico-liter volume,clinical icsi,automated cell manipulation,cell holding device,egg cell,robot vision,visualization,computer vision,computer architecture,microscopy,optical microscopy,head,robots,in vitro fertilization,system performance
Robotic systems,Intracytoplasmic sperm injection,Cell injection,Computer mouse,Simulation,Fertility clinic,Control engineering,Oocyte,Computer vision algorithms,Medical physics,Engineering,Sperm
Conference
Volume
Issue
ISSN
2011
1
1050-4729
ISBN
Citations 
PageRank 
978-1-61284-386-5
0
0.34
References 
Authors
7
6
Name
Order
Citations
PageRank
Zhe Lu1648.86
Xuping Zhang2398.00
Clement Leung317417.36
Navid Esfandiari4233.64
R F Casper5675.72
Yu Sun641869.89