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| Laboratory |
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| Field portable |
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| Process Raman |
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| Gas Raman |
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| Microsense |
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| Laser for Raman |
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µSense-Lab High performance Raman Microscope

Enwave's µSense-Lab High Performance Raman Microscope System provides high performance microscopic Raman measurements at an affordable price. The systems are easy to use and reliable for your routine Raman microscopy applications.
Enwave's µSense-Lab series Raman Microscopes are ideal for various academic, research, and industrial laboratory applications. These Raman microscopes offer best performance to price ratio for non-confocal Raman microscope
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Product Highlight:
- Small footprint, cost effective, and fully integrated Raman Microscope System
- Near Infra-Red (NIR) Excitation at 785nm for Low Fluorescence Interference
- High Resolution/Sensitivity TE-Cooled CCD Spectrometer for Stable Operation
- Detachable Raman adaptor
- User Friendly Software
- Direct Export or Link to GRAMS and Excel for Post Processing and Modeling
- Robust & Durable Design
- High Performance/Cost
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- Specification
- Applications
- Sample Spectra
- Accessories
| Specifications |
| Model |
μSense-Lab-785/532 |
| Raman Spectrometer |
LabRaman-785/532 |
| μViewer Raman Microscope Adaptor |
μViewer-785/532 Raman Adaptor with 1.3M Pixel CMOS Viewing Camera and White Light LED Epi-illumination
Microscope |
| Leica DM300 Microscope with 10x & 40x Objectives. |
| RamanReader-M Software |
System Control and Data Collection software including Micro-Imaging Software for Sample Viewing |
| Capable of managing user-built libraries and material identification with commercial spectral databases (Require Spectral ID) |
- Pharmaceutical - Raw material identification; Polymorph differentiation
- Polymer - Recycling
- Gemology - Identification of stones, Gemstones..
- Art/Cultural - Identify Pigments, inks..
- Forensic - identification of illicit drug, explosives and tracing evidence including hairs, fibers, paints chips, and inks..
- Academic research - Material science, bioscience ..
- Biology - Studies of skin
- Carbon Materials -
Characterize Carbon Nanotube, Graphene and diamond..
- Semiconductor
- Solar - Characterization of photovoltaic materials
- Art/Cultural - Identify Pigments ..
- Food and Nutrition
- Laptop computer with installedRamanReader software (Recommended)
- Safety Goggles


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