The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Enhanced cell sorting and manipulation with combined optical tweezer and microfluidic chip technologies
Abstract
Sorting (or isolation) and manipulation of rare cells with high recovery rate and purity are of critical importance to a wide range of physiological applications. In the current paper, we report on a generic single cell manipulation tool that integrates optical tweezers and microfluidic chip technologies for handling small cell population sorting with high accuracy. The laminar flow nature of microfluidics enables the targeted cells to be focused on a desired area for cell isolation. To recognize the target cells, we develop an image processing methodology with a recognition capability of multiple features, e.g., cell size and fluorescence label. The target cells can be moved precisely by optical tweezers to the desired destination in a noninvasive manner. The unique advantages of this sorter are its high recovery rate and purity in small cell population sorting. The design is based on dynamic fluid and dynamic light pattern, in which single as well as multiple laser traps are employed for cell transportation, and a recognition capability of multiple cell features. Experiments of sorting yeast cells and human embryonic stem cells are performed to demonstrate the effectiveness of the proposed cell sorting approach.
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Cites
Embryonic Stem Cell Lines Derived from Human Blastocysts
Thomson, J. A., Itskovitz-Eldor, J., Shapiro, S. S., Waknitz, M. A., Swiergiel, J. J., Marshall, V. S., & Jones, J. M. (1998) · Science · doi:10.1126/science.282.5391.1145 · Cited by 15,926
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Forces of a single-beam gradient laser trap on a dielectric sphere in the ray optics regime
Ashkin, A. (1992) · Biophysical Journal · doi:10.1016/s0006-3495(92)81860-x · Cited by 1,681
Massively parallel manipulation of single cells and microparticles using optical images
Chiou, P. Y., Ohta, A. T., & Wu, M. C. (2005) · Nature · doi:10.1038/nature03831 · Cited by 1,444
Microfluidic sorting in an optical lattice
MacDonald, M. P., Spalding, G. C., & Dholakia, K. (2003) · Nature · doi:10.1038/nature02144 · Cited by 1,246
Micro Total Analysis Systems. Latest Advancements and Trends
Dittrich, P. S., Tachikawa, K., & Manz, A. (2006) · Analytical Chemistry · doi:10.1021/ac0605602 · Cited by 950
Microfluidic sorting of mammalian cells by optical force switching
Wang, M. M., Tu, E., Raymond, D. E., Yang, J. M., Zhang, H., Hagen, N., Dees, B., Mercer, E. M., Forster, A. H., Kariv, I., et al. (2005) · Nature Biotechnology · doi:10.1038/nbt1050 · Cited by 690
Laser-Induced Heating in Optical Traps
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Self-citation
Cited by
Optical tweezers — from calibration to applications: a tutorial
Gieseler, J., Gomez-Solano, J. R., Magazzù, A., Pérez Castillo, I., Pérez García, L., Gironella-Torrent, M., Viader-Godoy, X., Ritort, F., Pesce, G., Arzola, A. V., et al. (2021) · Advances in Optics and Photonics · doi:10.1364/aop.394888 · Cited by 282
Organs-on-chip monitoring: sensors and other strategies
Kilic, T., Navaee, F., Stradolini, F., Renaud, P., & Carrara, S. (2018) · Microphysiological Systems · doi:10.21037/mps.2018.01.01 · Cited by 96
Metadata
- Authors
- Wang, X., Chen, S., Kong, M., Wang, Z., Costa, K. D., Li, R. A., & Sun, D.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2011
- Volume
- 11
- Issue
- 21
- Pages
- 3656
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2017348445
- Cited by
- 440
- References
- 23
- FWCI
- 14.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, X., Chen, S., Kong, M., Wang, Z., Costa, K. D., Li, R. A., & Sun, D. (2011). Enhanced cell sorting and manipulation with combined optical tweezer and microfluidic chip technologies. Lab on a Chip. https://doi.org/10.1039/c1lc20653b
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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.
