In vivo applications of a molecular computing-based high-throughput NIR spectrometer

Lisa A. Cassis, Bin Dai, Aaron Urbas, Robert A. Lodder

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations


Modern hyperspectral imaging is able to collect exceptional amounts of information at astonishing speed. Reducing these data from physical fields to high-level, useful information is difficult. Integrated computational imaging (ICI) is a process in which image information is encoded as it is sensed to produce information better suited for high-speed digital processors. Both spatial and spectral features of samples can be encoded in ICI. When spectral images are simultaneously obtained and encoded at many different wavelengths, the process is called hyperspectral integrated computational imaging (HICI). Lenslet arrays and masks are ideal for encoding spatial features of an image. This process is used here to analyze motion and metabolism in freely moving rats. Complex molecular absorption filters can be used as mathematical factors in spectral encoding to create a factor-analytic optical calibration in a high-throughput spectrometer. This process is used here for remote sensing of ethanol concentrations. In this system, the molecules in the filter effectively compute the calibration function by weighting the signals received at each wavelength over a broad wavelength range. One or two molecular filters are sufficient to produce a detector voltage that is proportional to an analyte concentration in the image field. Because a single detector voltage can reveal analyte concentration, HICI is able to calculate chemical images orders of magnitude more rapidly than conventional chemomerric approaches.

Original languageEnglish
Pages (from-to)239-253
Number of pages15
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2004
EventGenetically Engineered and Optical Probes for Biomedical Applications II - San Jose, CA, United States
Duration: Jan 24 2004Jan 27 2004


  • Hyperspectral imaging
  • Integrated computational imaging
  • Lenslet arrays
  • Spatial feature encoding

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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