710-VP Hyperspectral Imaging System

Specifications

Imaging Mode: Electroluminescence (EL), Raman, Photoluminescence (PL), Diffuse Reflectance (DR)
Excitation Wavelength: Custom
Spectral Range (Raman Imaging): Custom
Spectral Range (PL, EL, DR Imaging): 400 - 1000 nm
Spectral Resolution (Raman Imaging): Custom
Spectral Resolution (PL, EL, DR Imaging): <5 nm
Spatial Resolution: Nanometer Range
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Features


  • Eliminates Need for Translation Stage: The SOC710 Series removes the necessity for scanning stages during lab and field research, offering a streamlined process.

  • Live Video Preview: Equipped with a preview camera that provides live video for scene framing and focusing, ensuring precise data capture.

  • High Dynamic Range Experiments: The precision scanning mechanism of the 710-VP allows for high dynamic range experiments with two scans of the same scene at different gain settings.

  • Versatile Scanning Modes: Operate in traditional line scanning or internal scanning modes, easily switching between acquisition modes with a simple software toggle.

  • Open Format Data: Data is recorded in an open format binary compatible with third-party analysis software such as ENVI or MATLAB, facilitating easy integration into existing workflows.

  • Portable and Flexible Design: The SOC710-VP’s small footprint and lack of external stage hardware make it highly portable, ideal for in-situ field data collection.

  • Excellent Post-Sale Support: Benefit from comprehensive support to ensure optimal use and maintenance of the system.

Applications


  • Food Processing: Enables precise spectral analysis for quality control and safety monitoring.

  • Agriculture: Provides crop health, soil condition, and vegetation analysis with high spectral accuracy.

  • Forensics: Supports detailed material and chemical identification for investigative applications.

  • Medicine & Biology: Facilitates tissue characterization, medical imaging, and biological studies.

  • Defense & Security: Enhances surveillance, camouflage detection, and material identification.

  • Environmental Monitoring: Detects pollutants, assesses ecosystems, and supports field-based research.

  • Machine Vision & Color Analysis: Improves industrial sorting, inspection, and quality assurance processes.