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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Trends in Biotechnol...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Trends in Biotechnology
Article . 2026 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Biomechanics in miniature: microfluidic-based in vitro modeling to decipher mechanobiological phenomena

Authors: Hye Jin Hong; Na-Hyun Lee; Hye Sung Kim; Kam W. Leong; Hae-Won Kim;

Biomechanics in miniature: microfluidic-based in vitro modeling to decipher mechanobiological phenomena

Abstract

Mechanobiology is a rapidly advancing field, offering innovative insights and therapeutic strategies for a range of pathophysiological conditions. Central to this progress is the ability to replicate complex cellular and tissue microenvironments in vitro. Microfluidic systems, with their precision-engineered designs, dynamic fluid control, and spatial manipulation, serve as versatile platforms for this purpose. By effectively integrating modeling and sensing capabilities, these systems further provide valuable insights into complex cellular mechanosensing events. In this review, we highlight the latest advances in microfluidic technologies, their significance in replicating living microenvironments, and the challenges they present, with a particular focus on their contributions to unraveling mechanobiological mechanisms and exploring potential therapeutic strategies.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
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