NIRSBOX-OEM is the solution if you are looking for a quick integration of TD-NIRS in your research system.
Easy installation and sync to your set-up, thanks to the available cross-OS libraries.
Completely plug-and-play, and ready to unleash your creativity in diffuse optical measurements.
Functional performance of NIRSBOX-OEM in TD-NIRS measurements are equal to the standalone device version. Here are some additional info on its integration:
Dimensions: | 185 x 105 x 230 mm (W x H x L) |
Weight: | About 3 kg |
Input Voltage | 13 to 18 VDC |
Max. Input Power: | 35 W |
Input/Output: | 3.3 V (5 V tolerant) logic signals. Dedicated interlock input. |
Optical Fiber Interface: | FC/PC connectors |
Ad-hoc rails to safely fix the NISBOX-OEM device to your custom system (M3 screws or nuts).
Distance between rails: 140 mm.
Rail length: 220 mm.
Couple it with your other measuring devices
- Input/Output synchronization signals (e.g. to couple with Diffuse Correlation Spectroscopy systems);
- Synchronized pairing with spyrometry, cycloergometers and EMG;
- Recover parameter like: methaboloic rate of oxygen extraction, blood flow and many others.
The NIRSBOX-OEM is one of the key components of the VASCOVID Device Microvascular Health Platform, and has been developed in its framework. Check out more HERE or directly on project website!
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101016087.
In the framework of the PROMETEUS project, PIONIRS will provide NIRBOX OEM technology, to allow for a continuative quantification of oxygen concentration in the brain. A custom hardware prototype will be developed and tailored to the PROMETEUS needs.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101099093.
Product intended to be used for research applications only, not sold as medical device. Product not intended to be used for diagnosis or disease treatments. Specifications and data are preliminary and may be subject to changes, to improve function, reliability or design.