An efficient data extraction method for high-temporal-and-spatial-resolution near infrared spectroscopy (NIRS) systems

2012 ◽  
Author(s):  
JongKwan Choi ◽  
MinGyu Choi ◽  
Hyeon-Min Bae
Keyword(s):  
Infrared Spectroscopy ◽  
Spatial Resolution ◽  
Near Infrared Spectroscopy ◽  
Extraction Method ◽  
Near Infrared ◽  
Data Extraction ◽  
Efficient Data ◽  
Temporal And Spatial

scholarly journals Near-Infrared Spectroscopy of the Surface of Mars Derived from TIGER Spectro-Imaging Data

1995 ◽  
Vol 149 ◽  
pp. 298-299
Author(s):  
P. Martin ◽  
P.C. Pinet ◽  
R. Bacon ◽  
A. Rousset
Keyword(s):  
Infrared Spectroscopy ◽  
Spatial Resolution ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Western Hemisphere ◽  
Imaging Data ◽  
Integral Field Spectrograph ◽  
Integral Field ◽  
Spectro Imaging

AbstractHigh spectral and spatial resolution telescopic observations of the western hemisphere of Mars, using the integral field spectrograph TIGER at 0.8-1.1 µm, are described.

scholarly journals High Resolution Scanning of Radial Strips cut from Increment Cores by Near Infrared Spectroscopy

IAWA Journal ◽  
2007 ◽  
Vol 28 (4) ◽  
pp. 473-484 ◽  
Author(s):  
P. David Jenes ◽  
Laurence R. Schimleck ◽  
Chi-Leung So ◽  
Alexander Clark III ◽  
Richard F. Daniels
Keyword(s):  
Infrared Spectroscopy ◽  
High Resolution ◽  
Spatial Resolution ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
High Spatial Resolution ◽  
Microfibril Angle ◽  
Wood Property ◽  
Nir Spectroscopy ◽  
Wood Properties

Near infrared (NIR) spectroscopy provides a rapid method for the determination ofwood properties of radial strips. The spatial resolution of the NIR measurements has generally been limited to sections 10mm wide and as a consequence the estimation of wood properties of individual rings or within rings has not been possible. Many different NIR instruments can be used to collect NIR spectra from the surface of radial strips at relatively high spatial resolution and the purpose of this study was to compare wood property calibrations obtained using NIR spectra collected in 5 mm and 2 mm seetions with several different NIR instruments. We found that calibrations based on spectra collected in 5 mm seetions had good statistics, with those based on the Bruker Vector 22/N spectrometer the strongest. Of the three properties examined (density, microfibril angle and stiffness), density had the weakest statistics. When the spatial resolution was decreased to 2 mm, calibration and prediction statistics were weaker than those at 5 mm. RPDp's were relatively low with the highest being 1.76 for predicted stiffness based on NIR spectra obtained using the ASD Field Spec Pro spectrometer. Based on the low RPDp's, we conclude that none of the instruments examined were suitable for scanning radial strips at a spatial resolution of 2 mm.

The Potential Role of Functional Near-Infrared Spectroscopy as Clinical Biomarkers in Schizophrenia

2020 ◽  
Vol 26 (2) ◽  
pp. 201-217 ◽  
Author(s):  
Po-Han Chou ◽  
Chun-Jun Huang ◽  
Chia-Wei Sun
Keyword(s):  
Infrared Spectroscopy ◽  
Spatial Resolution ◽  
Near Infrared Spectroscopy ◽  
Functional Outcomes ◽  
Near Infrared ◽  
Brain Activity ◽  
Cognitive Task ◽  
Functional Near Infrared Spectroscopy ◽  
Clinical Biomarkers ◽  
Potential Biomarker

Functional near-infrared spectroscopy (fNIRS) is a recently developed technique that can measure hemoglobin changes in the cerebral cortex, and fNIRS-based research in psychiatry has been progressing rapidly. fNIRS is advantageous in its noninvasiveness, ease of administration, tolerance of small movements, inexpensiveness, strong signal correlations with fMRI signals, and in providing imaging with excellent time resolution and moderate spatial resolution. However, fNIRS has several disadvantages, such as low spatial resolution and shallower measurements in brain regions compared with other functional neuroimaging techniques (e.g. functional magnetic resonance imaging and positron emission tomography). Therefore, fNIRS may be a candidate instrument for clinical use in psychiatry, as it can measure brain activity in a clinical setting. Moreover, previous studies have demonstrated that altered brain activity in the prefrontal cortex is associated with clinical symptoms and functional outcomes in patients with schizophrenia, suggesting that fNIRS could be used as a potential biomarker. Future studies aimed at exploring fNIRS differences in different clinical stages, longitudinal changes, medication effects, variations during different cognitive task paradigms, cross-cultural comparisons, and applying more delicate statistical analytic methodologies are warranted to develop more accurate biomarkers that can be applied in clinical practice for differential diagnosis, monitoring symptoms, predicting functional outcomes, and the personalized decision regarding treatment options in patients with schizophrenia.

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