Near-infrared Scanner
Near-infrared Scanner - Related Videos
12:27
Assembly, Tuning and Use of an Apertureless Near Field Infrared Microscope for Protein Imaging
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Cited by 3 •
2009
The assembly of a nearfield infrared microscope for imaging protein aggregates is described.
08:11
Infrared Spectroscopy
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2023
Source: Vy M. Dong and Zhiwei Chen, Department of Chemistry, University of California, Irvine, CA This experiment will demonstrate the use of infrared (IR) spectroscopy (also known as vibrational spectroscopy) to elucidate the identity of an unknown compound by identifying the functional group(s) present. IR spectra will be obtained on an IR spectrometer using the attenuated total reflection (ATR) sampling technique with a neat sample of the unknown.
08:25
Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response
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Cited by 6 •
2014
This protocol describes a process for rapid collection of images of Arabidopsis seedlings responding to a gravity stimulus using commercially-available flatbed scanners. The method allows for inexpensive, high-volume capture of high-resolution images amenable for downstream analysis algorithms.
07:01
Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
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Cited by 5 •
2016
A scanner for imaging magnetic particles in planar samples was developed using the planar frequency mixing magnetic detection technique. The magnetic intermodulation product response from the nonlinear nonhysteretic magnetization of the particles is recorded upon a two-frequency excitation. It can be used to take 2D images of thin biological samples.
15:18
Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research
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Cited by 44 •
2013
We describe the adaptation of optical projection tomography (OPT)1 to imaging in the near infrared spectrum, and the implementation of a number of computational tools. These protocols enable assessments of pancreatic β-cell mass (BCM) in larger specimens, increase the multichannel capacity of the technique and increase the quality of OPT data.
FAQs
The measurement depends on the different absorption of near-infrared wavelengths by oxygenated and deoxygenated hemoglobin. Light passing through the scalp and skull is altered by the tissue, and detectors examine the returning signal. Changes in the relative hemoglobin signals provide estimates of cerebral blood oxygenation and blood flow during brain activity.
Different wavelengths interact differently with oxygenated and deoxygenated hemoglobin. Comparing the detected responses across wavelengths helps distinguish changes associated with these two forms of hemoglobin rather than treating all changes in light intensity as equivalent. This wavelength-dependent analysis is central to interpreting physiological changes measured beneath the scalp.
The scanner sends light through the scalp and skull toward underlying tissue, then measures the light that returns to its detectors. Variations in the returning signal are analyzed as changes in cerebral blood oxygenation and blood flow. These physiological changes can be examined while participants perform sensory, cognitive, or motor tasks.
A typical measurement begins by directing near-infrared light through the scalp and skull toward the brain. Detectors collect the returning light, and the recorded optical responses are analyzed for changes in oxygenated and deoxygenated hemoglobin. Researchers then relate these blood-related changes to the sensory, cognitive, or motor task being studied.
Functional near-infrared spectroscopy is useful when researchers need measurements during sensory, cognitive, or motor activity and want an approach that is relatively portable and tolerant of movement. Those characteristics support laboratory and clinical research as well as studies conducted in more naturalistic settings, where other neuroimaging arrangements may be less practical.
Near-infrared scanning provides information about changes in cerebral blood oxygenation and blood flow, while its portability and movement tolerance support measurements outside highly constrained laboratory arrangements. Researchers can therefore use it alongside other neuroimaging techniques to broaden experimental settings, examine brain responses during active tasks, and extend investigations into clinical or naturalistic contexts.