S
Stephan K. W. Dertinger
Researcher at Harvard University
Publications - 12
Citations - 7335
Stephan K. W. Dertinger is an academic researcher from Harvard University. The author has contributed to research in topics: Chaotic mixing & Reynolds number. The author has an hindex of 10, co-authored 12 publications receiving 6951 citations.
Papers
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Journal ArticleDOI
Chaotic Mixer for Microchannels
Abraham D. Stroock,Stephan K. W. Dertinger,Armand Ajdari,Igor Mezic,Howard A. Stone,George M. Whitesides +5 more
TL;DR: This work presents a passive method for mixing streams of steady pressure-driven flows in microchannels at low Reynolds number, and uses bas-relief structures on the floor of the channel that are easily fabricated with commonly used methods of planar lithography.
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Generation of Solution and Surface Gradients Using Microfluidic Systems
Noo Li Jeon,Stephan K. W. Dertinger,Daniel T. Chiu,Insung S. Choi,and Abraham D. Stroock,George M. Whitesides +5 more
TL;DR: In this paper, the authors describe a simple, versatile method of generating gradients in composition in solution or on surfaces using microfluidic systems based on controlled diffusive mixing of species in solutions that are flowing laminarly, at low Reynolds number, inside a network of microchannels.
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Neutrophil chemotaxis in linear and complex gradients of interleukin-8 formed in a microfabricated device
Noo Li Jeon,Harihara Baskaran,Stephan K. W. Dertinger,George M. Whitesides,Livingston Van De Water,Livingston Van De Water,Mehmet Toner +6 more
TL;DR: A device microfabricated by soft lithography and consisting of a network of microfluidic channels that can generate spatially and temporally controlled gradients of chemotactic factors is described, providing a robust method to investigate migratory cells under a variety of conditions not accessible to study by earlier techniques.
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Generation of Gradients Having Complex Shapes Using Microfluidic Networks
TL;DR: In this paper, the authors describe the generation of gradients having complex shapes in solution using microfluidic networks, which can be useful in both biological and nonbiological research.
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Gradients of substrate-bound laminin orient axonal specification of neurons
TL;DR: This article demonstrates a generally applicable technique for the fabrication of substrate-bound gradients of proteins with complex shapes, using laminar flows in microchannels, and showed that axon specification is oriented in the direction of increasing surface density of laminin.