Hyperspectral Visible and Infrared Camera
GRAND-EOS is a global hyperspectral camera that is continuously tunable from 400 to 1650 nm. This system combines micro and macro modalities. It provides non-polarized wavelength selection with high throughput and efficiency. This is made possible by Photon etc.’s patented filtering technology based on volume Bragg grating. GRAND-EOS generates a hyperspectral data-cube with spatial information along the X-Y axes and spectral information along the Z-axis. Photon etc.’s global-imaging technology extracts a data-cube from a handful of monochromatic images and without the need for image reconstruction. The field of view covered can be adjusted depending on the application and sample size. GRAND-EOS is designed for reflectance, transmittance and luminescence imaging and is well suited for both fundamental research and industrial applications.
Hyperspectral imaging can highlight differences that are difficult to see with the human eye.
GRAND-EOS opens the door to
- Photovoltaic characterization
- Counterfeit examination
- Forensic research
- Food and plants sorting
Product Specifications
| GRAND-EOS | |
| Spectral range | 400 - 1650 nm |
| Spectral resolution (FWHM) | < 4 nm |
| Camera | sCMOS + Photon etc.'s InGaAs camera |
| Spectral channels | Continuously tunable |
| Entrance slit size | No slit / Full field of view measured for each wavelength |
| Standard field of view (customizable) | 20 x 20 mm to 160 x 160 mm (other FOV available upon request) |
| Options & Accessories | Absolute photometric calibration, micro-imaging modality, white light illumination, laser excitation |
Spec Sheet
Applications
Publications
Journal of Instrumental Analysis
- Forensic Science
Research on Nonlinear Dimensionality Reduction and Classification Modeling Methods of Hyperspectral Inkjet Printing Ink Data
AIP Advances
- Photovoltaics
Identifying and investigating spatial features in InGaAs solar cells by hyperspectral luminescence imaging
Applied Physics Letters
- Photovoltaics
Understanding Photovoltaic Energy Losses Under Indoor Lighting Conditions
White Papers
Hyperspectral Imaging in Counterfeit Ink and Banknote Identification
Authors Marie-Christine Ferland, Marc Verhaegen & Vincent Cardin