scholarly journals Evaluation of the detection ability of uropathogen morphology and vaginal contamination by the Atellica UAS800 automated urine microscopy analyzer and its effectiveness

2021 ◽  
Author(s):  
Akihiro Nakamura ◽  
Tetsuya Shinke ◽  
Nobuyoshi Noguchi ◽  
Masaru Komatsu ◽  
Hachiro Yamanishi
Keyword(s):  
Detection Ability ◽  
Urine Microscopy

Microwave Ablation Applicator with Tumor Detection Ability

2020 ◽  
Author(s):  
Markus Kochanek ◽  
Carolin Hessinger ◽  
Martin Schusler ◽  
Rolf Jakoby ◽  
Frank Hubner ◽  
...  
Keyword(s):  
Microwave Ablation ◽  
Tumor Detection ◽  
Detection Ability

scholarly journals Detection of Quasi-Static Trapped Human Being Using Mono-Static UWB Life-Detection Radar

2021 ◽  
Vol 11 (7) ◽  
pp. 3129
Author(s):  
Kun Yan ◽  
Shiyou Wu ◽  
Guangyou Fang
Keyword(s):  
Economic Cost ◽  
Operating Mode ◽  
Ultra Wideband ◽  
Detection Methods ◽  
Human Being ◽  
Human Beings ◽  
Detection Ability ◽  
Radar Echo ◽  
Life Detection ◽  
Respiration Motion

In practical situations such as hostage rescue, earthquake and other similar events, the ultra-wideband (UWB) life-detection radar echo response from the respiration motion of the trapped person is always quasi-/non-periodic in respiration frequency or very weak in respiration amplitude, which can be called quasi-static vital sign. Although it is an extremely difficult task, considering the economic cost, the detection ability of the traditional UWB life-detection radars with only a pair of transceiver antennas is desired to be enhanced for locating the quasi-static trapped human being. This article proposes two different detection methods for quasi-static trapped human beings through the single/multiple observation points, which corresponds to the single-/multi-station radar operating mode, respectively. Proof-of-principle experiments were carried out by our designed radar prototypes, validating the effectiveness of the proposed methods.

Urine Microscopy

BMJ ◽  
1966 ◽  
Vol 1 (5480) ◽  
pp. 154-154 ◽  
Author(s):  
R. I. S. Bayliss
Keyword(s):  
Urine Microscopy

Ultra-sensitive NH3 sensor based on flower-shaped SnS2 nanostructures with sub-ppm detection ability

2018 ◽  
Vol 341 ◽  
pp. 159-167 ◽  
Author(s):  
Ya Xiong ◽  
Wangwang Xu ◽  
Degong Ding ◽  
Wenbo Lu ◽  
Lei Zhu ◽  
...  
Keyword(s):  
Detection Ability ◽  
Nh3 Sensor
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