应用说明

Frequently Asked Questions

Frequently Asked Questions If you see a rainbow pattern on a soap bubble or on a film of oil you...
How to Choose a Raman Filter For Drug ID And Characterization

How to Choose a Raman Filter For Drug ID And Characterization

Precise use of filters gives Raman spectroscopy fantastic utility not only in drug identification and inspection but also the detection of explosives and unknown substances, materials inspection by U.S. Customs and port authorities, and food safety inspection. To learn more about choosing the right optical filter(s) for your drug ID applications, click to read the full article, contact the author or visit our website.

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Edge Filters for Raman Spectroscopy

Raman spectroscopy probes the molecular vibrational and rotational modes of a material in order to detect and identify the material. Typically, laser light is incident upon the material and the scattered light is measured.

The excitation source (laser line) intensity is often to orders of magnitude greater than the Raman scattered signal. Therefore, edge pass (or notch) filters are required to block the Rayleigh scattered laser light while transmitting the red-wavelength shifted (Stokes) and/or the blue-wavelength shifted (Anti-Stokes) Raman scattered signal.

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Handheld Raman vs “Fingerprint” Applications and the Different Optical Filters that Enable Them

Raman spectroscopy is a powerful and increasingly ubiquitous analytical tool capable of identifying molecular constituents of samples under test and, when combined with microscopy, exploring specific cellular structures and functions. Non-invasive, non-contact, requiring no sample preparation or chemical tagging – it is no wonder that Raman has established a presence as an invaluable analytical technique both in labs and in the field.

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LiDAR and Optical Filters for Autonomous Vehicles

“What’s a ‘steering wheel’?” At the present time this would be a very strange question to hear asked from anyone who has driven, ridden in, or even seen a car but in a couple of decades this may not seem so unusual. The evolution of increasingly affordable and capable sensing and imaging systems combined with the desire to create safer, more efficient transportation systems is driving the development of autonomous vehicles (pun intended). LiDAR is a key technology that will eventually help carry this growth through to “Level 5” autonomy : no steering wheels, no brake pedals, no human intervention in driving.

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