C-RED 2
VERY HIGH SPEED ULTRA LOW DARK SCIENTIFIC InGaAs INFRARED CAMERA
This project is supported by the “Investments for the future” program and the Provence Alpes Côte d’Azur Region, in the frame of the CPER
THEORY OF OPERATION
C-RED 2 is a revolutionary ultra high speed low noise Short Wave Infrared camera, able to run at 600 FPS with less than 30 electrons readout noise.
To achieve this performance, C-RED 2 integrates a 640 x 512 InGaAs PIN Photodiode detector with 15 μm pixel pitch for high resolution, which embeds an electronic shutter with integration pulses shorter than 5 μs.
C-RED 2 offers dark optimization for long exposure times up to 60 seconds and High Dynamic Range: 93 dB and true 16 bits.
Designed for high-end low light SWIR applications, C-RED 2 offers new opportunities for science, research and industry.
Maritime night surveillance with C-RED 2
Applications
- Astronomy
- Life Sciences / Research
- Industry
- Surveillance / Safety
- Art Inspection
Watch our videos 
main features
- up to 600 FPS full frame
- <30 e- RON + ultra low dark
- 93 dB linear dynamic range and true 16 bits image
- Dark optimization for long exposure times up to several minutes
other features
- 640 x 512 InGaAs sensor
- 70% QE, wavelength from 0.9 to 1.7 µm
- Windowing
- Electronic shutter <5 μs
- On board IMRO mode and non uniformity correction
- Cooling Air or Liquid (Ambiant)
- Interface: superspeed USB-3 or CameraLink™
- C-Mount
- SWaP: L 140 mm x W 75 mm x H 55 mm, Weight: 0.9Kg, up to 90W
- Optional : mouting plate
software
First Light Vision GUI
SDK (C, C++, C#, Python, MatLab) / LabVIEW / μManager / Halcon
Read our OS requirements
customisation
DN 40 ISO-KF version for vacuum use
Read LUXET InGaAs 100 brochure
LUXET InGaAs 100 is a low-light microscopy imaging system, equipped with a fully automatic motion system, a deep cooled InGaAs camera C-RED 2 (as shown on picture #2), a microscope lens with different magnifications and a phase-locked measurement mode, to improve semiconductor devices inspection.
First Light Imaging acknowledges Optimal Grenoble for assembling the preclinical imaging device and performing the in vivo experiments.
