scholarly journals Verification of NADH content measurements by portable optical diagnostic system in living brain tissue

2018 ◽  
Author(s):  
Evgeny Zherebtsov ◽  
Plamena Angelova ◽  
Sergei G. Sokolovski ◽  
Andrey Abramov ◽  
Edik U. Rafailov
Keyword(s):  
Brain Tissue ◽  
Diagnostic System ◽  
Optical Diagnostic

Multichannel optical diagnostic system for field-reversed configuration plasmas

2004 ◽  
Vol 75 (12) ◽  
pp. 5205-5212 ◽  
Author(s):  
Tsutomu Takahashi ◽  
Hiroshi Gota ◽  
Toshiyuki Fujino ◽  
Masanori Okada ◽  
Tomohiko Asai ◽  
...  
Keyword(s):  
Diagnostic System ◽  
Field Reversed Configuration ◽  
Optical Diagnostic

Development of a portable non-contact optical diagnostic system for the detection of δ-HMX

2007 ◽  
Author(s):  
Andrew J. Dale ◽  
Mark W. Wright ◽  
Christopher T. Hughes ◽  
Mike D. Bowden
Keyword(s):  
Diagnostic System ◽  
Optical Diagnostic

Abstract 4333: Optical diagnostic system with Raman spectroscopy for gastric cancer

2010 ◽  
Author(s):  
Hiroyuki Konno ◽  
Toshiki Kawabata ◽  
Okazaki Shigetoshi ◽  
Iino Ichirota ◽  
Takeshi Uehara ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Raman Spectroscopy ◽  
Diagnostic System ◽  
Optical Diagnostic

Optical Diagnostic System for the TLS

2007 ◽  
Author(s):  
C. K. Kuan ◽  
T. C. Tseng ◽  
D. J. Wang ◽  
G. Y. Hsiung ◽  
S. Y. Perng ◽  
...  
Keyword(s):  
Diagnostic System ◽  
Optical Diagnostic

A portable optical diagnostic system for rapid malaria screening

2019 ◽  
Author(s):  
Andrea M. Armani ◽  
Dongyu Chen ◽  
Samantha E. McBirney ◽  
Kristina Kaypaghian ◽  
Holly Huber ◽  
...  
Keyword(s):  
Diagnostic System ◽  
Optical Diagnostic

scholarly journals Towards an optical diagnostic system for otitis media using a combination of otoscopy and spectroscopy

2019 ◽  
Vol 12 (6) ◽  
Author(s):  
Lingna Hu ◽  
Wansha Li ◽  
Huiying Lin ◽  
Ying Li ◽  
Hao Zhang ◽  
...  
Keyword(s):  
Otitis Media ◽  
Diagnostic System ◽  
Optical Diagnostic

scholarly journals Endoscopic Diagnostic System Using Autofluorescence

1999 ◽  
Vol 5 (2) ◽  
pp. 59-63 ◽  
Author(s):  
S. Takehana ◽  
M. Kaneko ◽  
H. Mizuno
Keyword(s):  
Lung Cancer ◽  
Early Detection ◽  
Imaging System ◽  
Diagnostic System ◽  
Accurate Diagnosis ◽  
Optical Diagnostic ◽  
The Us ◽  
Fluorescence Imaging System ◽  
Diagnostic Technology ◽  
Diagnosis Of Lung Cancer

A fluorescence imaging system (Xillix LIFE – Lung Fluorescence Endoscopy system) using fluorescence for the accurate diagnosis and early detection of lesions through an endosocope has been developed. This system has applied an optical diagnostic technology to functionally diagnose lesions which have been difficult to morphologically recognize or are occult with conventional endoscope. The benefit of this system in the diagnosis of lung cancer has already been confirmed in the US and Japan, and feasibility of the system in the gastric intestinal field has also been evaluated.

scholarly journals Quantification of Endogenous Brain Tissue Displacement Imaging by Radiofrequency Ultrasound

Diagnostics ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 57 ◽  
Author(s):  
Rytis Jurkonis ◽  
Monika Makūnaitė ◽  
Mindaugas Baranauskas ◽  
Arūnas Lukoševičius ◽  
Andrius Sakalauskas ◽  
...  
Keyword(s):  
Brain Tissue ◽  
Tissue Characterization ◽  
Pearson Correlation ◽  
Ultrasonic Transducer ◽  
Regional Distribution ◽  
Diagnostic System ◽  
Preclinical Study ◽  
Elderly Subjects ◽  
Healthy Elderly

The purpose of this paper is a quantification of displacement parameters used in the imaging of brain tissue endogenous motion using ultrasonic radiofrequency (RF) signals. In a preclinical study, an ultrasonic diagnostic system with RF output was equipped with dedicated signal processing software and subject head–ultrasonic transducer stabilization. This allowed the use of RF scanning frames for the calculation of micrometer-range displacements, excluding sonographer-induced motions. Analysis of quantitative displacement estimates in dynamical phantom experiments showed that displacements of 55 µm down to 2 µm were quantified as confident according to Pearson correlation between signal fragments (minimum p ≤ 0.001). The same algorithm and scanning hardware were used in experiments and clinical imaging which allows translating phantom results to Alzheimer’s disease patients and healthy elderly subjects as examples. The confident quantitative displacement waveforms of six in vivo heart-cycle episodes ranged from 8 µm up to 263 µm (Pearson correlation p ≤ 0.01). Displacement time sequences showed promising possibilities to evaluate the morphology of endogenous displacement signals at each point of the scanning plane, while displacement maps—regional distribution of displacement parameters—were essential for tissue characterization.

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