Name
Abstract | ||
|---|---|---|
Compared to robotic injection of suspended cells (e.g., embryos and oocytes), fewer attempts were made to automate the injection of adherent cells (e.g., cancer cells and cardiomyocytes) due to their smaller size, highly irregular morphology, small thickness (a few micrometers thick), and large variations in thickness across cells. This paper presents a robotic system for automated microinjection of adherent cells. The system is embedded with several new capabilities: automatically locating micropipette tips; robustly detecting the contact of micropipette tip with cell culturing surface and directly with cell membrane; and precisely compensating for accumulative positioning errors. These new capabilities make it practical to perform adherent cell microinjection truly via computer mouse clicking in front of a computer monitor, on hundreds and thousands of cells per experiment (versus a few to tens of cells as state of the art). System operation speed, success rate, and cell viability rate were quantitatively evaluated based on robotic microinjection of over 4000 cells. This paper also reports the use of the new robotic system to perform cell-cell communication studies using large sample sizes. The gap junction function in a cardiac muscle cell line (HL-1 cells), for the first time, was quantified with the system. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TBME.2014.2342036 | IEEE Trans. Biomed. Engineering |
Keywords | Field | DocType |
microinjection,medical robotics,mouse controllers (computers),adherent cell microinjection system,biomechanics,biomembrane transport,robotic microinjection,cardiology,toxicology testing,cell experiment,quantitative cell evaluation,pipes,adhesion,biomedical measurement,system operation speed,accumulative positioning error compensation,drug testing,robotic suspended cell injection,oocyte injection,cardiomyocyte injection,robotics,cell membrane contact detection,gap junction,success rate,automated microinjection system,cell communication,robotic system,large cell sample size,cancer,automatic micropipette tip location,cell viability rate,computer monitor,automatic adherent cell injection,cancer cell injection,mechanical contact,micropipette tip-cell culturing surface contact detection,adherent cell thickness variation,cardiac muscle cell line,biomems,embryo injection,robotic adherent cell injection,position control,gap junction function quantification,computer mouse clicking,hl-1 cell,cell-cell communication characterization,irregular adherent cell morphology,biological specimen preparation,adherent cell size | Biomedical engineering,Cell culture,Pipette,Cancer cell,Computer science,Cardiac muscle cell,Microinjection,Cell membrane,Cell,Cell signaling | Journal |
Volume | Issue | ISSN |
62 | 1 | 1558-2531 |
Citations | PageRank | References |
10 | 1.55 | 7 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Liu | 1 | 27 | 4.65 |
| Vinayakumar Siragam | 2 | 10 | 1.55 |
| Zheng Gong | 3 | 25 | 3.48 |
| Jun Chen | 4 | 10 | 1.55 |
| Michael D. Fridman | 5 | 10 | 1.55 |
| Clement Leung | 6 | 174 | 17.36 |
| Zhe Lu | 7 | 64 | 8.86 |
| Changhai Ru | 8 | 38 | 10.24 |
| Shaorong Xie | 9 | 112 | 38.53 |
| Jun Luo | 10 | 98 | 25.37 |
| Robert M. Hamilton | 11 | 10 | 1.55 |
| Yu Sun | 12 | 418 | 69.89 |