Magnetophoretic Micro‐Distributor for Controlled Clustering of Cells Article Swipe
YOU?
·
· 2021
· Open Access
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· DOI: https://doi.org/10.1002/advs.202103579
Cell clustering techniques are important to produce artificial cell clusters for in vitro models of intercellular mechanisms at the single‐cell level. The analyses considering physical variables such as the shape and size of cells have been very limited. In addition, the precise manipulation of cells and control of the physical variables are still challenging. In this paper, a magnetophoretic device consisting of a trampoline micromagnet and active elements that enable the control of individual selective jumping motion and positioning of a micro‐object is proposed. Based on a numerical simulation under various conditions, automatic separation or selective clustering of micro‐objects according to their sizes is performed by parallel control and programmable manipulation. This method provides efficient control of the physical variables of cells and grouping of cells with the desired size and number, which can be a milestone for a better understanding of the intercellular dynamics between clustered cells at the single‐cell level for future cell‐on‐chip applications.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/advs.202103579
- OA Status
- gold
- Cited By
- 14
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4200076797
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4200076797Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/advs.202103579Digital Object Identifier
- Title
-
Magnetophoretic Micro‐Distributor for Controlled Clustering of CellsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-12-15Full publication date if available
- Authors
-
Jonghwan Yoon, Yumin Kang, Hyeonseol Kim, Sri Ramulu Torati, Keonmok Kim, Byeonghwa Lim, CheolGi KimList of authors in order
- Landing page
-
https://doi.org/10.1002/advs.202103579Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1002/advs.202103579Direct OA link when available
- Concepts
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Cluster analysis, Computer science, Biological system, Nanotechnology, Artificial intelligence, Materials science, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 4, 2023: 5, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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41Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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