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Cited by 768

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Optical tweezers for single cells

Open access
Zhang, Hu, Liu, Kuo-Kang·2008·Journal of The Royal Society Interface

Abstract

Optical tweezers (OT) have emerged as an essential tool for manipulating single biological cells and performing sophisticated biophysical/biomechanical characterizations. Distinct advantages of using tweezers for these characterizations include non-contact force for cell manipulation, force resolution as accurate as 100 aN and amiability to liquid medium environments. Their wide range of applications, such as transporting foreign materials into single cells, delivering cells to specific locations and sorting cells in microfluidic systems, are reviewed in this article. Recent developments of OT for nanomechanical characterization of various biological cells are discussed in terms of both their theoretical and experimental advancements. The future trends of employing OT in single cells, especially in stem cell delivery, tissue engineering and regenerative medicine, are prospected. More importantly, current limitations and future challenges of OT for these new paradigms are also highlighted in this review.

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Crossref · 10.1098/rsif.2008.0052

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Metadata

Authors
Zhang, H., & Liu, K.-K.
Venue
Journal of The Royal Society Interface
Published
2008-04
Volume
5
Issue
24
Pages
671-690
ISSN
  • 1742-5662 (ISSN-L)
  • 1742-5689
OpenAlex
W2108209129
Cited by
768
References
3
FWCI
9.67
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Optical tweezers for single cells. https://app.cochat.ai/papers/10.1098/rsif.2008.0052
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Zhang, H., & Liu, K.-K. (2008). Optical tweezers for single cells. Journal of The Royal Society Interface. https://doi.org/10.1098/rsif.2008.0052

Data sources

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.