E
Erin E. McDonnell
Researcher at Lawrence Berkeley National Laboratory
Publications - 6
Citations - 186
Erin E. McDonnell is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Signal & RF probe. The author has an hindex of 4, co-authored 6 publications receiving 171 citations.
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Journal ArticleDOI
Microfluidic gas-flow profiling using remote-detection NMR
Christian Hilty,Erin E. McDonnell,Josef Granwehr,Kimberly L. Pierce,Songi Han,Alexander Pines +5 more
TL;DR: In this article, the authors used nuclear magnetic resonance (NMR) to obtain spatially and temporally resolved profiles of gas flow in microfluidic devices, without the introduction of foreign tracer particles.
Journal ArticleDOI
NMR analysis on microfluidic devices by remote detection.
TL;DR: In this article, the authors present an approach to perform high-sensitivity NMR imaging and spectroscopic analysis on microfluidic devices by physically separating signal detection from encoding of information with remote detection.
Journal ArticleDOI
Time-of-flight flow imaging of two-component flow inside a microfluidic chip.
TL;DR: 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, thereby eliminating the need for foreign tracers.
Journal ArticleDOI
Auxiliary probe design adaptable to existing probes for remote detection NMR, MRI, and time-of-flight tracing
TL;DR: A versatile, detection-only probe design is presented that can be adapted to any existing NMR or MRI probe with the purpose of making the remote detection concept generally applicable.
Microfluidic gas flow profiling using remote detection NMR - eScholarship
Christian Hilty,Erin E. McDonnell,Josef Granwehr,Kimberly L. Pierce,Song-I Han Han,Alexander Pines +5 more
TL;DR: Remote detection of the NMR signal both overcomes the sensitivity limitation of NMR and enables time-of-flight measurement in addition to spatially resolved imaging, gaining detailed insight into the effects of flow, diffusion, and mixing in specific geometries.