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A new type of imaging called hyperspectral spectrum imaging can take pictures of objects at very high speeds.

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Monarc detector’s wavelength-filtered spectrum imaging mode enables hyperspectral data collection 100x faster than other CL detectors.

Traditional CL imaging techniques have limited spectral information, hindering quantitate analysis and identification of trace elements.

Monochromatic light (CL) is widely used in analytical chemistry for the detection and identification of elements in a sample. However, traditional CL imaging techniques only provide limited spectral information, hindering quantitative analysis and the identification of trace elements.

Monarc’s ultra-fast detectors collect series of wavelength-filtered maps, used to build hyperspectral data cube.

This method significantly reduces acquisition times while continuing to enable high-spatial sampling.

Monarc’s ultra-fast detectors collect series of wavelength-filtered maps, used to build hyperspectral data cube. This method significantly reduces acquisition times while continuing to enable high-spatial sampling. For example, Monarc’s unique detection method allows for high-spatial sampling, enabling investigation of sample’s fine banding structure.

Monarc detector’s wavelength-filtered spectrum imaging mode facilitates >70x higher spatial sampling.

Monarc’s unique detection method allows for high-spatial sampling, enabling investigation of sample’s fine banding structure.

Monarc’s wavelength-filtered spectrum imaging mode uses a series of filters to take pictures of an object at different wavelengths. By doing this, Monarc is able to take pictures of an object with much higher spatial resolution than traditional color and black and white CL detectors. This is because Monarc’s filters are able to collect light from a much wider area on the object being imaged.

In addition, Monarc’s wavelength-filtered spectrum imaging mode also enables scientists to investigate a sample’s fine banding structure. This is because the higher spatial resolution afforded by Monarc’s filters allows for a more detailed analysis of the sample.

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