On-tissue Microfluidics
On-tissue Microfluidics - Related Videos
08:22
Microfluidic Bioprinting for Engineering Vascularized Tissues and Organoids
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Cited by 37 •
2017
We provide a generalized protocol based on a microfluidic bioprinting strategy for engineering a microfibrous vascular bed, where a secondary cell type could be further seeded into the interstitial space of this microfibrous structure to generate vascularized tissues and organoids.
10:35
Studies of Bacterial Chemotaxis Using Microfluidics - Interview
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Cited by 1 •
2007
11:08
Revealing Electromechanical Control of Tissue Homeostasis Using a Two-Layer Microfluidic Device
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2025
Here, we present a protocol to fabricate a unique two-layer microfluidic device to study the electromechanical regulation of epithelial tissue homeostasis. The device applies static physiological electric currents perpendicular to the tissue plane, impacting cell-cell adhesion, proliferation, and extrusion. Live-cell imaging and mechanical stress measurements reveal mechanisms of these processes.
10:18
Multi-step Variable Height Photolithography for Valved Multilayer Microfluidic Devices
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Cited by 26 •
2017
Multilayer microfluidic devices often involve the fabrication of master molds with complex geometries for functionality. This article presents a complete protocol for multi-step photolithography with valves and variable height features tunable to any application. As a demonstration, we fabricate a microfluidic droplet generator capable of producing hydrogel beads.
14:24
Manufacturing of Three-dimensionally Microstructured Nanocomposites through Microfluidic Infiltration
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Cited by 4 •
2014
Three-dimensional (3D) microstructured composite beams are fabricated through the directed and localized infiltration of nanocomposites into 3D porous microfluidic networks. The flexibility of this manufacturing method enables the utilization of different thermosetting materials and nanofillers in order to achieve a variety of functional 3D reinforced nanocomposite macroscopic products.
FAQs
Spatial control is the key mechanism: microchannels or patterned chambers direct reagents to selected tissue regions while maintaining localized contact. Controlled flow conditions coordinate delivery, incubation, washing, and reactions, so molecular signals remain linked to tissue architecture. This differs from conventional processing, which can disrupt the spatial relationships needed to interpret tumor biology.
Each structural element contributes a different function. Microchannels guide reagent movement, whereas patterned chambers provide defined areas for contact with the tissue. The sequence of delivery, incubation, washing, and reaction steps determines how consistently a local assay proceeds. Together, these features support controlled molecular analysis across distinct regions of a tissue section.
Precisely controlled flow conditions influence how reagents reach and interact with tissue, while miniaturized volumes limit reagent consumption. These design features can improve spatial resolution by concentrating molecular analysis at localized regions. In cancer samples, that spatial precision helps distinguish neighboring areas rather than averaging signals across the entire tissue section.
A typical workflow begins with a tissue section positioned for localized fluid handling. Reagents are then directed through microchannels or patterned chambers, followed by controlled incubation, washing, and molecular reactions. The resulting signals can be analyzed in place for proteins, nucleic acids, or other biomarkers, preserving their relationship to the surrounding tissue architecture.
In cancer research, On-tissue Microfluidics can be used to examine how molecular features vary within a tumor. Localized detection of proteins, nucleic acids, and other biomarkers connects those signals with tissue structure, supporting characterization of tumor heterogeneity. This approach is especially relevant when different regions may exhibit distinct biological properties within one specimen.
Beyond profiling individual biomarkers, the approach helps investigate cellular interactions by retaining spatial context during analysis. It also contributes to spatially resolved diagnostic research and therapeutic studies, where the location of a molecular signal may matter as much as its presence. The resulting measurements can therefore support tissue-informed interpretation of cancer biology and treatment-related questions.