scholarly journals Magnetic particle detection (MPD) for in-vitro dosimetry

2013 ◽  
Vol 43 ◽  
pp. 88-93 ◽  
Author(s):  
Kevin R. Minard ◽  
Matthew H. Littke ◽  
Wei Wang ◽  
Yijia Xiong ◽  
Justin G. Teeguarden ◽  
...  
2007 ◽  
Vol 3 (1) ◽  
pp. 34
Author(s):  
Giovanna Calò ◽  
Francesco Lattarulo ◽  
Vincenzo Petruzzelli

A GTEM cell, suitable for assessing possible biological effects induced on cell samples by electromagnetic fields at the typical frequencies of GSM mobile phones, has been designed and set up. Basic environmental requirements for in-vitro biological experiments, involving a GTEM cell, have been assessed by controlling the electromagnetic field distribution and survival conditions. The GTEM cell has been characterized by Standing Wave Ratio (SWR) and Time Domain Reflectometry (TDR) measurements. The impedance matching at the terminal load section has been optimized by considering different hybridload configurations. Moreover, optimal exposure conditions forthe biological sample have been experimentally evaluated by paying special attention to the E-field scenario inside the GTEM cell at 900 MHz and 1800 MHz frequencies. At last, an experimental evaluation of the Specific Absorption Rate (SAR) is reported.


Nanoscale ◽  
2014 ◽  
Vol 6 (13) ◽  
pp. 7325-7331 ◽  
Author(s):  
V. Hirsch ◽  
C. Kinnear ◽  
L. Rodriguez-Lorenzo ◽  
C. A. Monnier ◽  
B. Rothen-Rutishauser ◽  
...  

A well-controlled route towards biocompatible agglomerated Au-NPs is reported, which span the range from small particles with high diffusion coefficients to larger particles with lower diffusion coefficients. Difference in uptake kinetics of single NPs and agglomerates can be explained by particokinetics, without the need to consider size-mediated cellular uptake mechanisms.


2006 ◽  
Vol 89 (22) ◽  
pp. 224105 ◽  
Author(s):  
S. Xu ◽  
M. H. Donaldson ◽  
A. Pines ◽  
S. M. Rochester ◽  
D. Budker ◽  
...  

Nanomedicine ◽  
2015 ◽  
Vol 10 (19) ◽  
pp. 3015-3032 ◽  
Author(s):  
Joel M Cohen ◽  
Glen M DeLoid ◽  
Philip Demokritou

2020 ◽  
Author(s):  
Erin M. Masucci ◽  
Peter K. Relich ◽  
E. Michael Ostap ◽  
Erika L. F. Holzbaur ◽  
Melike Lakadamyali

ABSTRACTImprovements to particle tracking algorithms are required to effectively analyze the motility of biological molecules in complex or noisy systems. A typical single particle tracking (SPT) algorithm detects particle coordinates for trajectory assembly. However, particle detection filters fail for datasets with low signal-to-noise levels. When tracking molecular motors in complex systems, standard techniques often fail to separate the fluorescent signatures of moving particles from background noise. We developed an approach to analyze the motility of kinesin motor proteins moving along the microtubule cytoskeleton of extracted neurons using the Kullback-Leibler (KL) divergence to identify regions where there are significant differences between models of moving particles and background signal. We tested our software on both simulated and experimental data and found a noticeable improvement in SPT capability and a higher identification rate of motors as compared to current methods. This algorithm, called Cega, for ‘find the object’, produces data amenable to conventional blob detection techniques that can then be used to obtain coordinates for downstream SPT processing. We anticipate that this algorithm will be useful for those interested in tracking moving particles in complex in vitro or in vivo environments.


2006 ◽  
Vol 99 (10) ◽  
pp. 103903 ◽  
Author(s):  
Roel Wirix-Speetjens ◽  
Wim Fyen ◽  
Jo De Boeck ◽  
Gustaaf Borghs

2015 ◽  
Vol 54 (3) ◽  
pp. 257-263 ◽  
Author(s):  
D. V. Ivanov ◽  
E. A. Shishkina ◽  
D. I. Osipov ◽  
R. A. Razumeev ◽  
E. A. Pryakhin
Keyword(s):  

2009 ◽  
Vol 20 (33) ◽  
pp. 335301 ◽  
Author(s):  
Irina Rod ◽  
Olga Kazakova ◽  
David C Cox ◽  
Marina Spasova ◽  
Michael Farle

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