Spectral Imaging

The proliferation of imaging spectrometers opens new possibilities for analysis and monitoring for many technical fields. Spectral imaging represents a combination of digital image processing and classical spectroscopy, whereby a spectrum is recorded for each pixel simultaneously.

The advantages of spectral imaging are particularly generated through the combination of this technology with the appropriate multivariate analysis. For each application a suitable method is developed, capable of splitting (unmixing) the recorded spectra into its member components, as well as distinguishing the type and quantity of the components. The spectrum of analysis techniques ranges from unmixing (MCR, NMF) through classification (SAM, SVM, K-Means) up to data exploration methods (OPA, PCA-VARIMAX).

Application example: Microarray scanner for fluorescence measurements on biochips

The microarray scanner analyses fluorescence-labeled DNA-biochips spectrally resolved. Thereby spectral imaging technology offers some advantages over conventional microarray scanners:

  • larger number of dyes can be distinguished
  • identification and consideration of contaminations
  • high throughput due to parallel recording of measurement points
Application example: Image-based spectroscopic sensor for the automatic control of gas burners in the glass-processing industry

The precise composition of the combustion gas mixture of burners is essential for the maximum achievable flame temperature as well as for the economic use of raw material. A mobile device for optical flame analysis and optimization of gas supply for industrial burners has been developed. It assesses the relative fuel-to-oxygen ratio by analysing the gas emission spectra in the UV-VIS range along the flame. The sensor allows for calculation of a flame index stating the quality of fuel supply.

Application example: Hyperspectral Raman sensor for simultaneous qualitative and quantitative analysis

Raman spectroscopy generates chemical fingerprints of substances and mixtures. The sensor developed acquires Raman spectra from more than one hundred measurement points simultaneously. Potential application fields are the (bio-) medical and chemical analysis e.g. in the paper or pharmaceutical industry. Using parallel measurement the device is faster than conventional scanning Raman spectrometers.

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