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- Publisher Website: 10.1109/TNANO.2017.2654320
- Scopus: eid_2-s2.0-85015644132
- WOS: WOS:000396396300009
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Article: Applications of Micro/Nano Automation Technology in Detecting Cancer Cells for Personalized Medicine
Title | Applications of Micro/Nano Automation Technology in Detecting Cancer Cells for Personalized Medicine |
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Authors | |
Keywords | Cancer cell micro/nano automation personalized medicine robotics |
Issue Date | 2017 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7729 |
Citation | IEEE Transactions on Nanotechnology, 2017, v. 16, p. 217-229 How to Cite? |
Abstract | The coming era of personalized cancer treatment is presenting automation with unprecedented opportunities. Currently, the drug susceptibility test of clinical cancer patients is mainly dependent on manual labor with a low level of automation. Automating the process of primary cancer cell detection will potentially have tremendous economic benefits and social significance. Automated cancer cell detection means developing robotic and automation equipments to handle single cells and molecules at the micro/nanometer-scale. The achievements of information science, engineering technology, life sciences, and nanotechnology in the past decades have led to the birth of robots that can perform effective manipulations on single living cells at the micro/nanometer-scale in aqueous conditions, opening the door to automated cancer cell detection. However, there is still a huge gap between current single-cell micro/nano automation technology and clinical requirements for personalized medicine. In this paper, we will review the progress of single-cell micro/nano automation technology in recent years and discuss the facing challenges and future directions in three aspects, including automated cell isolation and delivery, automatically acquiring the physiological features of cells and data analysis. |
Persistent Identifier | http://hdl.handle.net/10722/261781 |
ISSN | 2023 Impact Factor: 2.1 2023 SCImago Journal Rankings: 0.435 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Li, M | - |
dc.contributor.author | Liu, L | - |
dc.contributor.author | Xi, N | - |
dc.contributor.author | Wang, Y | - |
dc.date.accessioned | 2018-09-28T04:47:47Z | - |
dc.date.available | 2018-09-28T04:47:47Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | IEEE Transactions on Nanotechnology, 2017, v. 16, p. 217-229 | - |
dc.identifier.issn | 1536-125X | - |
dc.identifier.uri | http://hdl.handle.net/10722/261781 | - |
dc.description.abstract | The coming era of personalized cancer treatment is presenting automation with unprecedented opportunities. Currently, the drug susceptibility test of clinical cancer patients is mainly dependent on manual labor with a low level of automation. Automating the process of primary cancer cell detection will potentially have tremendous economic benefits and social significance. Automated cancer cell detection means developing robotic and automation equipments to handle single cells and molecules at the micro/nanometer-scale. The achievements of information science, engineering technology, life sciences, and nanotechnology in the past decades have led to the birth of robots that can perform effective manipulations on single living cells at the micro/nanometer-scale in aqueous conditions, opening the door to automated cancer cell detection. However, there is still a huge gap between current single-cell micro/nano automation technology and clinical requirements for personalized medicine. In this paper, we will review the progress of single-cell micro/nano automation technology in recent years and discuss the facing challenges and future directions in three aspects, including automated cell isolation and delivery, automatically acquiring the physiological features of cells and data analysis. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7729 | - |
dc.relation.ispartof | IEEE Transactions on Nanotechnology | - |
dc.rights | IEEE Transactions on Nanotechnology. Copyright © IEEE. | - |
dc.rights | ©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Cancer | - |
dc.subject | cell | - |
dc.subject | micro/nano automation | - |
dc.subject | personalized medicine | - |
dc.subject | robotics | - |
dc.title | Applications of Micro/Nano Automation Technology in Detecting Cancer Cells for Personalized Medicine | - |
dc.type | Article | - |
dc.identifier.email | Xi, N: xining@hku.hk | - |
dc.identifier.authority | Xi, N=rp02044 | - |
dc.identifier.doi | 10.1109/TNANO.2017.2654320 | - |
dc.identifier.scopus | eid_2-s2.0-85015644132 | - |
dc.identifier.hkuros | 292800 | - |
dc.identifier.volume | 16 | - |
dc.identifier.spage | 217 | - |
dc.identifier.epage | 229 | - |
dc.identifier.eissn | 1941-0085 | - |
dc.identifier.isi | WOS:000396396300009 | - |
dc.identifier.issnl | 1536-125X | - |