@article {287,
	title = {Time-of-flight flow imaging of two-component flow inside a microfluidic chip},
	journal = {Physical Review Letters},
	volume = {98},
	year = {2007},
	note = {Phys Rev Lett124OYTimes Cited:21Cited References Count:16},
	month = {Jan 5},
	abstract = {<p>Here we report on using NMR imaging and spectroscopy in conjunction with time-of-flight tracking to noninvasively tag and monitor nuclear spins as they flow through the channels of a microfluidic chip. Any species with resolvable chemical-shift signatures can be separately monitored in a single experiment, irrespective of the optical properties of the fluids, thereby eliminating the need for foreign tracers. This is demonstrated on a chip with a mixing geometry in which two fluids converge from separate channels, and is generally applicable to any microfluidic device through which fluid flows within the nuclear spin-lattice relaxation time.</p>
},
	keywords = {microchannels},
	isbn = {0031-9007},
	doi = {Doi 10.1103/Physrevlett.98.017601},
	url = {<Go to ISI>://WOS:000243379700050},
	author = {Harel, E. and Hilty, C. and Koen, K. and McDonnell, E. E. and Pines, A.}
}
@article {319,
	title = {Time-of-flight flow imaging using NMR remote detection},
	journal = {Physical Review Letters},
	volume = {95},
	year = {2005},
	note = {Phys Rev Lett955SGTimes Cited:35Cited References Count:29},
	month = {Aug 12},
	abstract = {<p>A time-of-flight imaging technique is introduced to visualize fluid flow and dispersion through porous media using NMR. As the fluid flows through a sample, the nuclear spin magnetization is modulated by rf pulses and magnetic field gradients to encode the spatial coordinates of the fluid. When the fluid leaves the sample, its magnetization is recorded by a second rf coil. This scheme not only facilitates a time-dependent imaging of fluid flow, it also allows a separate optimization of encoding and detection subsystems to enhance overall sensitivity. The technique is demonstrated by imaging gas flow through a porous rock.</p>
},
	keywords = {mri},
	isbn = {0031-9007},
	doi = {Doi 10.1103/Physrevlett.95.075503},
	url = {<Go to ISI>://WOS:000231247300028},
	author = {Granwehr, J. and Harel, E. and Han, S. and Garcia, S. and Pines, A. and Sen, P. N. and Song, Y. Q.}
}
