scholarly journals Micropattern spectrophotometry. | Ion/ion reactions for top-down proteomics. | Multifunctional pores as sensors. | Microfluidic bioreactor for long-term monitoring. | Lectin arrays. | A force sensor with optical readout. | Whole-cell electrophysiology on a chip. | Label-free detection by microwave imaging. | Magnetic particle imaging.

2005 ◽  
Vol 77 (17) ◽  
pp. 327 A-330 A
2017 ◽  
Vol 62 (9) ◽  
pp. 3440-3453 ◽  
Author(s):  
Paul Keselman ◽  
Elaine Y Yu ◽  
Xinyi Y Zhou ◽  
Patrick W Goodwill ◽  
Prashant Chandrasekharan ◽  
...  

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Bo Zheng ◽  
Tandis Vazin ◽  
Patrick W. Goodwill ◽  
Anthony Conway ◽  
Aradhana Verma ◽  
...  

2019 ◽  
Vol 471 ◽  
pp. 1-7 ◽  
Author(s):  
Lucas Wöckel ◽  
James Wells ◽  
Olaf Kosch ◽  
Stefan Lyer ◽  
Christoph Alexiou ◽  
...  

2020 ◽  
Author(s):  
Julia Guzy ◽  
Shatadru Chakravarty ◽  
Foster Buchanan ◽  
Haoran Chen ◽  
Jeffrey M. Gaudet ◽  
...  

Magnetic particle imaging (MPI) is an exciting new biomedical imaging technology that uses superparamagnetic nanoparticles as an imaging tracer. MPI is touted as a quantitative imaging modality but MPI signal properties have never been characterized for nanoparticles undergoing biodegradation. Here we characterize the nature of the MPI signal properties as a function of degradation of various magnetic particle formulations. We show that MPI signal properties can increase or decrease as a function of nanoparticle formulation and chemical environment and that long-term in vitro experiments only roughly approximate long-term in vivo MPI signal properties. Data are supported by electron microscopy of nanoparticle degradation. Knowledge of MPI signal property changes during nanoparticle degradation will be critical in design and interpretation of all MPI experiments. Further, we demonstrate for the first time, an environmentally sensitive MPI contrast mechanism opening the door to smart contrast paradigms in MPI.<br>


2020 ◽  
Author(s):  
Julia Guzy ◽  
Shatadru Chakravarty ◽  
Foster Buchanan ◽  
Haoran Chen ◽  
Jeffrey M. Gaudet ◽  
...  

Magnetic particle imaging (MPI) is an exciting new biomedical imaging technology that uses superparamagnetic nanoparticles as an imaging tracer. MPI is touted as a quantitative imaging modality but MPI signal properties have never been characterized for nanoparticles undergoing biodegradation. Here we characterize the nature of the MPI signal properties as a function of degradation of various magnetic particle formulations. We show that MPI signal properties can increase or decrease as a function of nanoparticle formulation and chemical environment and that long-term in vitro experiments only roughly approximate long-term in vivo MPI signal properties. Data are supported by electron microscopy of nanoparticle degradation. Knowledge of MPI signal property changes during nanoparticle degradation will be critical in design and interpretation of all MPI experiments. Further, we demonstrate for the first time, an environmentally sensitive MPI contrast mechanism opening the door to smart contrast paradigms in MPI.<br>


2020 ◽  
Author(s):  
Julia Guzy ◽  
Shatadru Chakravarty ◽  
Foster Buchanan ◽  
Haoran Chen ◽  
Jeffrey M. Gaudet ◽  
...  

Magnetic particle imaging (MPI) is an exciting new biomedical imaging technology that uses superparamagnetic nanoparticles as an imaging tracer. MPI is touted as a quantitative imaging modality but MPI signal properties have never been characterized for nanoparticles undergoing biodegradation. Here we characterize the nature of the MPI signal properties as a function of degradation of various magnetic particle formulations. We show that MPI signal properties can increase or decrease as a function of nanoparticle formulation and chemical environment and that long-term in vitro experiments only roughly approximate long-term in vivo MPI signal properties. Data are supported by electron microscopy of nanoparticle degradation. Knowledge of MPI signal property changes during nanoparticle degradation will be critical in design and interpretation of all MPI experiments. Further, we demonstrate for the first time, an environmentally sensitive MPI contrast mechanism opening the door to smart contrast paradigms in MPI.<br>


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