High throughput, Highly Sensitive, High Resolution Raman System
The i-Raman® Prime is a low-noise, high-throughput, and fully integrated Raman system with an embedded tablet computer and a fiber-optic sampling probe, delivering research-grade Raman capabilities, including real-time quantitation and identification capabilities. The high throughput makes way for excellent signal-to-noise ratio, making it possible to measure even the slightest Raman signals and detect subtle sample differences. The i-Raman Prime series features the unique combination of wide spectral coverage and high resolution, measuring down to 100 cm-1 and up to 3400 cm-1, in a mobile design.
The i-Raman Prime can be battery operated for easy portability, giving research-grade Raman capabilities for high precision qualitative and quantitative work wherever needed. The system is optimized for use with our STRaman® technology.
Bioscience and Medical Diagnosis
Process Monitoring (PAT)
Geological and Mineralogical Research
Materials Science Research
High sensitivity and low noise detector combined with a high-throughput spectrometer giving excellent sensitivity to detect even low concentrations and samples with weak Raman signal. The high sensitivity gives high signal-to-noise ratio needed for biological systems. Shorter integration times are achievable due to high throughput, allowing for faster measurements as needed for process monitoring.
The fiber-optic-probe based sampling gives the flexibility to make measurements in different positions for a range of sample sizes and forms. Our comprehensive package of sampling accessories, including a video microscope and lenses for stand-off measurements, provide the utmost utility for Raman analysis in the lab and the field. The i-Raman Prime is compatible for use with our STRaman® technology, featuring see-through measurement capabilities over a larger sample area.
TOUCH SCREEN INTERFACE:
The i-Raman Prime is a fully integrated system with a touchscreen tablet computer running touch-friendly software, providing material identification and real-time predictions.
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