Laser Machined Fiber-Based Microprobe: Application in Microscale Electroporation

Jongwoon Kim , Yajun Zhao , Shuo Yang , Ziang Feng , Anbo Wang , Rafael V. Davalos , Xiaoting Jia

Advanced Fiber Materials ›› 2022, Vol. 4 ›› Issue (4) : 859 -872.

PDF
Advanced Fiber Materials ›› 2022, Vol. 4 ›› Issue (4) : 859 -872. DOI: 10.1007/s42765-022-00148-5
Research Article

Laser Machined Fiber-Based Microprobe: Application in Microscale Electroporation

Author information +
History +
PDF

Abstract

Microscale electroporation devices are mostly restricted to in vitro experiments (i.e., microchannel and microcapillary). Novel fiber-based microprobes enable in vivo microscale electroporation and arbitrarily select the cell groups of interest to electroporate. We developed a flexible, fiber-based microscale electroporation device through a thermal drawing process and femtosecond laser micromachining techniques. The fiber consists of four copper electrodes (80 μm), one microfluidic channel (30 μm), and has an overall diameter of 400 μm. The dimensions of the exposed electrodes and channel were customizable through a delicate femtosecond laser setup. The feasibility of the fiber probe was validated through numerical simulations and in vitro experiments. Successful reversible and irreversible microscale electroporation was observed in a 3D collagen scaffold (seeded with U251 human glioma cells) using fluorescent staining. The ablation regions were estimated by performing the covariance error ellipse method and compared with the numerical simulations. The computational and experimental results of the working fiber-based microprobe suggest the feasibility of in vivo microscale electroporation in space-sensitive areas, such as the deep brain.

Cite this article

Download citation ▾
Jongwoon Kim, Yajun Zhao, Shuo Yang, Ziang Feng, Anbo Wang, Rafael V. Davalos, Xiaoting Jia. Laser Machined Fiber-Based Microprobe: Application in Microscale Electroporation. Advanced Fiber Materials, 2022, 4(4): 859-872 DOI:10.1007/s42765-022-00148-5

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

National Science Foundation(ECCS-1847436)

National Institute of Health(R01 NS123069-01)

National Institutes of Health(R01CA213423)

National Institutes of Health(R21 EY033080-01)

AI Summary AI Mindmap
PDF

165

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/