The DOI matches its Crossref record.
Rolled-up magnetic microdrillers: towards remotely controlled minimally invasive surgery
Open accessAbstract
Self-folded magnetic microtools with sharp ends are directed at enabling drilling and related incision operations of tissues, ex vivo, in a fluid with a viscosity similar to that of blood. These microtools change their rotation from a horizontal to a vertical one when they are immersed into a rotational magnetic field. Novel self-assembly paradigms with magnetic materials can enable the creation of remotely controlled and mass-produced tools for potential applications in minimally invasive surgery.
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Citations
Cited by
3D printing of functional microrobots
Li, J., & Pumera, M. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01062f · Cited by 303
Liu, L., Chen, B., Liu, K., Gao, J., Ye, Y., Wang, Z., Qin, N., Wilson, D. A., Tu, Y., & Peng, F. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201910108 · Cited by 150
Metadata
- Authors
- Xi, W., Solovev, A. A., Ananth, A. N., Gracias, D. H., Sanchez, S., & Schmidt, O. G.
- Venue
- Nanoscale
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 5
- Issue
- 4
- Pages
- 1294-1297
- ISSN
- 2040-3364 (ISSN-L)
- 2040-3372
- OpenAlex
- W2062447229
- Cited by
- 284
- References
- 0
- FWCI
- 13.47
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: Rolled-up magnetic microdrillers: towards remotely controlled minimally invasive surgery. https://app.cochat.ai/papers/10.1039/c2nr32798h
- The paper
- Xi, W., Solovev, A. A., Ananth, A. N., Gracias, D. H., Sanchez, S., & Schmidt, O. G. (2013). Rolled-up magnetic microdrillers: towards remotely controlled minimally invasive surgery. Nanoscale. https://doi.org/10.1039/c2nr32798h
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
