Highly sensitive ion imaging system using direct combination of a stacked-type solid-state imager and a microchannel plate driven by LabVIEW software

2006 ◽  
Vol 38 (12-13) ◽  
pp. 1760-1762 ◽  
Author(s):  
Naoya Sakamoto ◽  
Hisayoshi Yurimoto
2005 ◽  
Vol 49 (1) ◽  
pp. 380-387 ◽  
Author(s):  
Yan Q. Xiong ◽  
Julie Willard ◽  
Jagath L. Kadurugamuwa ◽  
Jun Yu ◽  
Kevin P. Francis ◽  
...  

ABSTRACT Therapeutic options for invasive Staphylococcus aureus infections have become limited due to rising antimicrobial resistance, making relevant animal model testing of new candidate agents more crucial than ever. In the present studies, a rat model of aortic infective endocarditis (IE) caused by a bioluminescently engineered, biofilm-positive S. aureus strain was used to evaluate real-time antibiotic efficacy directly. This strain was vancomycin and cefazolin susceptible but gentamicin resistant. Bioluminescence was detected and quantified daily in antibiotic-treated and control animals with IE, using a highly sensitive in vivo imaging system (IVIS). Persistent and increasing cardiac bioluminescent signals (BLS) were observed in untreated animals. Three days of vancomycin therapy caused significant reductions in both cardiac BLS (>10-fold versus control) and S. aureus densities in cardiac vegetations (P < 0.005 versus control). However, 3 days after discontinuation of vancomycin therapy, a greater than threefold increase in cardiac BLS was observed, indicating relapsing IE (which was confirmed by quantitative culture). Cefazolin resulted in modest decreases in cardiac BLS and bacterial densities. These microbiologic and cardiac BLS differences during therapy correlated with a longer time-above-MIC for vancomycin (>12 h) than for cefazolin (∼4 h). Gentamicin caused neither a reduction in cardiac S. aureus densities nor a reduction in BLS. There were significant correlations between cardiac BLS and S. aureus densities in vegetations in all treatment groups. These data suggest that bioluminescent imaging provides a substantial advance in the real-time monitoring of the efficacy of therapy of invasive S. aureus infections in live animals.


Nano Letters ◽  
2018 ◽  
Vol 18 (5) ◽  
pp. 3303-3310 ◽  
Author(s):  
Gonzalo Pérez-Mitta ◽  
Ana S. Peinetti ◽  
M. Lorena Cortez ◽  
María Eugenia Toimil-Molares ◽  
Christina Trautmann ◽  
...  
Keyword(s):  

2014 ◽  
Vol 605 ◽  
pp. 540-543 ◽  
Author(s):  
Ruo Xi Wang ◽  
Patrick Pittet ◽  
Julien Ribouton ◽  
Guo Neng Lu ◽  
Jean Marc Galvan ◽  
...  

Solid-state dosimetry employs highly sensitive semiconductors such as Gallium Nitride (GaN) and Silicon (Si), but they have a common drawback of over response compared to tissues for low-energy scattered photons, which induces inacceptable errors for radiotherapy application. To tackle this issue, we propose a compensation method consisting in using two different materials of dosimetric interest with different atomic numbers. Their responses are denoted as SC1 and SC2. The response ratio SC1/water as a function of the ratio SC1/SC2 exhibits a monotonic curve that can serve as reference to compensate the over-response of SC1. To validate this method, we have studied the dosimetric response of GaN (0.1 mm3) and Si crystals (2.5 mm3) by simulations, using a validated model based on the general cavity theory in a homogeneous water phantom. The dosimetric response of GaN and Si calculated using the model has errors within 2.5% compared to measured data. The local fluence spectra have been obtained by convolution of pencil beam kernel built by Monte Carlo simulations for different clinical irradiation conditions with field size (from 5×5 cm2up to 20×20 cm2) at depth in the phantom (from 2 cm to 25 cm). The obtained results confirm a monotone relationship between GaN/water dose ratio and GaN/Si dose ratio. The reference curve is independent of irradiation conditions (field size, dosimeter position...), and allows determination of compensation value by identification.


1998 ◽  
Vol 37 (Part 1, No. 6A) ◽  
pp. 3541-3545 ◽  
Author(s):  
Bing Shan ◽  
Zenghu Chang ◽  
Jinyuan Liu ◽  
Xiuqin Liu ◽  
Shengshen Gao ◽  
...  

1968 ◽  
Vol 15 (4) ◽  
pp. 191-196 ◽  
Author(s):  
R.A. Anders ◽  
D.E. Callahan ◽  
W.F. List ◽  
D.H. McCann ◽  
M.A. Schuster
Keyword(s):  

1993 ◽  
Vol 11 (8) ◽  
pp. XVIII
Author(s):  
Nachappa Gopalsami ◽  
Stephen L Dieckman ◽  
William A Ellingson

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