Rapid Trapping And Tagging Of Microparticles In Controlled Flow By In ...
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Lab on a Chip
Rapid trapping and tagging of microparticles in controlled flow by in situ digital projection lithography†
*a Author affiliations * Corresponding authors
a Center for Advanced Optoelectronic Functional Materials Research, and, Key Laboratory for UV Emitting Materials and Technology of Ministry of Education, National Demonstration Center for Experimental Physics Education, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China E-mail: [email protected]
b Department of Biomedical Engineering and Chemical Engineering, Syracuse University, Syracuse, New York 13244, USA
c Key Laboratory of Molecular Epigenetics Ministry of Education, Institute of Genetics and Cytology, Northeast Normal University, Changchun 130024, China
Abstract
Real-time and fast trapping and tagging of microfeatures, such as microparticles and cells, are of great significance for biomedical research. In this work, we propose a novel in situ digital projection lithography technology that integrates real-time, in situ generation of digital masks for particle processing and fluid control into conventional DMD-based projection lithography. With the help of image recognition technology, we rapidly resolve the information of the microparticle profile or channel location, combining the selection of existing masks of different shapes, thus enabling in situ generation of user-customized micro-trap arrays and microfilter arrays for particle trapping and tagging. The success in trapping and filtering single particles, particle arrays, and cells has indicated the promising prospects of this novel technology for broad applications in microfluidics, single-cell analysis, and early-stage disease diagnostics.
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DOI https://doi.org/10.1039/D2LC00186A Article type Paper Submitted 24 Feb 2022 Accepted 23 Mar 2022 First published 24 Mar 2022Download Citation
Lab Chip, 2022,22, 1951-1961 BibTex EndNote MEDLINE ProCite ReferenceManager RefWorks RISPermissions
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H. Zhang, M. Lu, Z. Xiong, J. Yang, M. Tan, L. Huang, X. Zhu, Z. Lu, Z. Liang and H. Liu, Lab Chip, 2022, 22, 1951 DOI: 10.1039/D2LC00186A
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Han Zhang Meiying Lu Zheng Xiong Jing Yang Mingyue Tan Long Huang Xiaojuan Zhu Zifeng Lu Zhongzhu Liang Hua Liu
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