Remote measuring system for infrared spectral features using hollow fiber probe

2012 ◽  
Author(s):  
Yu-jing He ◽  
Wei Tan ◽  
Cong-Hui Yang ◽  
Yi-Wei Shi
Keyword(s):  
Hollow Fiber ◽  
Measuring System ◽  
Spectral Features ◽  
Fiber Probe ◽  
Infrared Spectral

scholarly journals Remote measuring system for infrared spectral features using hollow fiber probe

2012 ◽  
Vol 31 (2) ◽  
pp. 148-152
Author(s):  
Wei TAN ◽  
Yu-Jing HE ◽  
Cong-Hui YANG ◽  
Yi-Wei SHI
Keyword(s):  
Hollow Fiber ◽  
Measuring System ◽  
Spectral Features ◽  
Fiber Probe ◽  
Infrared Spectral

scholarly journals Development of a Micro Hole Measuring System Using an Optical Fiber Probe (1st Report)

2009 ◽  
Vol 75 (12) ◽  
pp. 1476-1481 ◽  
Author(s):  
Hiroshi MURAKAMI ◽  
Akio KATSUKI ◽  
Hiromichi ONIKURA ◽  
Takao SAJIMA ◽  
Eiji KONDO
Keyword(s):  
Optical Fiber ◽  
Measuring System ◽  
Fiber Probe ◽  
Optical Fiber Probe ◽  
Micro Hole

The Infrared Spectral Signatures of Disease: Extracting the Distinguishing Spectral Features between Normal and Diseased States

2009 ◽  
Vol 63 (11) ◽  
pp. 307A-318A ◽  
Author(s):  
Max Diem ◽  
Kostas Papamarkakis ◽  
Jennifer Schubert ◽  
Benjamin Bird ◽  
Melissa J. Romeo ◽  
...  
Keyword(s):  
Spectral Features ◽  
Spectral Signatures ◽  
Infrared Spectral

Investigation of the particle size-dependent near-infrared spectral features of binary mixture samples in conjunction with Monte Carlo simulation and the influence of particle size on the accuracy of quantitative analysis

The Analyst ◽  
2018 ◽  
Vol 143 (18) ◽  
pp. 4306-4315 ◽  
Author(s):  
Pham K. Duy ◽  
Seulah Chun ◽  
Yoonjeong Lee ◽  
Hoeil Chung
Keyword(s):  
Monte Carlo Simulation ◽  
Particle Size ◽  
Monte Carlo ◽  
Quantitative Analysis ◽  
Near Infrared ◽  
Spectral Variation ◽  
Spectral Features ◽  
Size Dependent ◽  
Infrared Spectral ◽  
Mixture Samples

The origin of particle size-induced near-infrared (NIR) spectral variation, which is fundamental for robust quantitative analysis, was systematically studied in conjunction with Monte Carlo simulation.

scholarly journals The mid-infrared spectral characteristics of blazars

2014 ◽  
Vol 10 (S313) ◽  
pp. 93-94
Author(s):  
Howard A. Smith ◽  
F. Massaro ◽  
R. D'Abrusco ◽  
A. Paggi ◽  
P. Cowperthwaite ◽  
...  
Keyword(s):  
Large Fraction ◽  
Spectral Characteristics ◽  
Continuum Emission ◽  
Spectral Features ◽  
Mid Infrared ◽  
Infrared Spectral ◽  
Infrared Spectrometer ◽  
Γ Ray ◽  
Followup Studies ◽  
The Continuum

AbstractWe previously reported discovering that blazars have distinctive infrared colors as seen in the WISE mission. Of particular note are γ-ray blazars, the locus of whose colors roughly overlaps with QSOs contours but which is more tightly delimited and bluer than ULIRGs and Seyferts. Since a large fraction of γ-ray sources are unassociated with any point source, but are expected to be blazars, identifying a WISE-candidate blazar in the γ-ray source field enables efficient followup studies. In an effort to better understand why blazars have these colors, we reduced and analyzed Spitzer Infrared Spectrometer (IRS) measurements on 73 blazars of varying types, some at several epochs. These spectra can be used to study the continuum emission (non-thermal), and search for atomic or other spectral features.

Prediction of gasoline octane numbers from near-infrared spectral features in the range 660-1215 nm

1989 ◽  
Vol 61 (4) ◽  
pp. 313-320 ◽  
Author(s):  
Jeffrey J. Kelly ◽  
Clyde H. Barlow ◽  
Thomas M. Jinguji ◽  
James B. Callis
Keyword(s):  
Near Infrared ◽  
Spectral Features ◽  
Infrared Spectral

Infrared Spectroscopy of Human Cells and Tissue. Part VII: FT-IR Microspectroscopy of DNase- and RNase-Treated Normal, Cirrhotic, and Neoplastic Liver Tissue

2000 ◽  
Vol 54 (4) ◽  
pp. 480-485 ◽  
Author(s):  
Luis Chiriboga ◽  
Herman Yee ◽  
Max Diem
Keyword(s):  
Nuclear Dna ◽  
Spectral Features ◽  
Protein Matrix ◽  
Neoplastic Tissue ◽  
Tissue Samples ◽  
Spectral Changes ◽  
Disease States ◽  
Dna And Rna ◽  
Cytoplasmic Rna ◽  
Infrared Spectral

In our efforts to understand the infrared spectral features of cells and tissues, and the spectral changes occurring between normal and disease states, we reported previously a detailed correlation between histochemical/immunohistochemical and spectral results. These results suggested an increase of nucleic acid spectral contributions in neoplastic, as compared to normal, tissue samples. In the present paper, these studies are extended to report the spectral features of DNA and RNA separately in these tissue samples. This was accomplished by selectively digesting either DNA or RNA from tissue sections, leaving behind the protein matrix with nuclear/cytoplasmic RNA or the protein matrix with nuclear DNA, respectively. These results demonstrate that the spectral changes between normal and neoplastic tissue are mostly due to an enhanced signature of DNA in neoplastic tissue. This enhancement is sufficiently large to suggest that it is most likely due to an increased detectability of DNA, rather than an increase in concentration.

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