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                    NIRScout Desk functional Near Infrared Spectroscopy Imaging System

                    Manufacturer:NIRX/Brand:NIRX/Model:NIRScout


                    The NIRScout is a user-friendly, modular, and robust functional near-infrared spectroscopy (fNIRS) platform which measures hemodynamic neuroactivation via oxy-, deoxy-, and total hemoglobin changes in the cerebral cortex. The NIRScout platform includes a host of ready-to-implement upgrades and modules to meet the needs of a broad range of cognitive neuroscience applications. NIRScout can measure both topographic and tomographic NIRS data from the entire cortex, yielding 3-D depth-discriminating neuroactivation. Optical sources are available in standard LED  configuration or Laser with the NIRScout hybrid LED/Laser source module.  Potential applications include: BCI/Neurofeedback, Cognitive Disorders, Developmental Disorders, Hyperscanning (multi-subject measurements), Movement/Balance, Infant Monitoring, Neuropathology, Neuropsychiatry, Social Interaction, Speech/Language, Stroke and Rehabilitation, Traumatic Brain Injury, Visual Impairment/Stimulation.

                    Features:

                    • Ideal for use with lightweight flat probes – does not require optical coupler for detectors.
                    • Ideal system for use with TMS and fMRI.
                    • Capable of short-distance  multi-distance (tomography, 3D depth) measurements.
                    • Illumination pattern (source firing sequence) fully-customizable, which increases sampling rate.
                    • Real-time multi-event block average views.
                    • Activation shown in 2D, 3D, and MNI displays.
                    • Automated hardware diagnostics.
                    • BCI/Neurofeedback - real-time processing.
                    • Create and load flexible sensor configurations.
                    • Online signal-quality monitoring.
                    • 3D optode position registration.
                    • Programmable source-illumination pattern.
                    • Open data format.


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