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Related Experiment Video

Updated: Jul 4, 2026

An Integrated System to Remotely Trigger Intracellular Signal Transduction by Upconversion Nanoparticle-mediated Kinase Photoactivation

An Integrated System to Remotely Trigger Intracellular Signal Transduction by Upconversion Nanoparticle-mediated Kinase Photoactivation

Published on: August 30, 2017

Synthetic signal injection using inductive coupling.

Kenneth I Marro¹, Donghoon Lee, Eric G Shankland

¹Department of Radiology, University of Washington, 1959 NE Pacific Street, Box 357115, Seattle, WA 98195-7115, USA. marro@u.washington.edu

Journal of Magnetic Resonance (San Diego, Calif. : 1997)

|July 4, 2008

Summary

This study introduces a novel method for magnetic resonance (MR) signal quantification, simplifying metabolite concentration measurements. The technique uses an induced artificial signal, proving immune to sample resistance changes for accurate results.

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Last Updated: Jul 4, 2026

An Integrated System to Remotely Trigger Intracellular Signal Transduction by Upconversion Nanoparticle-mediated Kinase Photoactivation

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Published on: August 30, 2017

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Area of Science:

Magnetic Resonance Imaging (MRI)
Biomedical Engineering
Quantitative Spectroscopy

Background:

Accurate metabolite concentration quantification in Magnetic Resonance (MR) signals is complex.
Existing methods require meticulous parameter accounting and transformations.
The ERETIC method uses an artificial reference signal but involves radiation.

Purpose of the Study:

To develop a simplified and more accurate method for converting MR signals to metabolite concentrations.
To overcome limitations of existing quantification techniques, particularly regarding sample resistance.
To introduce a novel calibration approach using induced artificial signals.

Main Methods:

A prototype probe with two Radio Frequency (RF) coils was designed for parallel signal acquisition.
An artificial reference signal was generated via induction between the coils.
This induced signal was acquired simultaneously with the actual MR signal.

Main Results:

The calibration factor derived from the induced signal was demonstrated to be independent of sample resistance.
This immunity eliminates the need for identical coil loading conditions between calibration and experimental samples.
The method shows potential for adaptation to human studies, enhancing practicality and accuracy.

Conclusions:

The novel induction-based calibration method simplifies MR signal quantification.
It offers improved accuracy and practicality by removing sample resistance dependency.
This technique holds promise for more reliable metabolite content analysis in various applications, including clinical settings.