A microfluidic system for controlling reaction networks in time.
By Helen Song, J. Tice, R. Ismagilov. Angewandte Chemie, 2003
1,069 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/8262e53e9a8575d0ac32656427d8ab30ee88e4e4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Stephen R. Quake
- Klavs F. Jensen
- A. Ajdari
- Anton P. J. Middelberg
- Chun‐Xia Zhao
- Howard A. Stone
- Abraham Duncan Stroock
- Andrew deMello
In Electrical and Electronic Engineering
- Anton P. J. Middelberg
- Chun‐Xia Zhao
- Stephen R. Quake
- Klavs F. Jensen
- Petra S. Dittrich
- Abraham Duncan Stroock
- Howard A. Stone
- David A. Weitz
Citations in the corpus
- Integrated nanoliter systems (2003, methodology): “The most recent example of this is work by Song et al”
- Correlations of droplet formation in T-junction microfluidic devices: from squeezing to dripping (2008, methodology): “With the rapid development of droplet formation techniques in microfluidic devices, several applications for the microfluidic chemical processing based on droplets have been demonstrated, including production of monodispersed microparticles (Nisisako et al. 2004; Xu et al. 2005; Utada et al. 2005; G”
- Cells on chips (2006, background): “Flow segmentation enhances mixing by creating a small recirculation within each segmen”
- Experimental and numerical study of droplets hydrodynamics in microchannels (2006, methodology): “Song et al.1 presented a microfluidic system that may be used to control networks of chemical reactions at the millisecond scale.”