Hyperspectral integrated computational imaging

Research output: Contribution to journalReview articlepeer-review

12 Scopus citations


The various aspects related to hyperspectral integrated computational imaging (HICI) are discussed. A new trend in hyperspectral imaging is to speed the visual data processing and reduce data storage requirements by downloading some of the computation to the sensing detector. Lenslet arrays and masks can also be employed to encode spatial features of a hyperspectral image. Hyperspectral images capture both spectral information and information on sample container position and velocity.

Original languageEnglish
Pages (from-to)868-872
Number of pages5
JournalAnalytical and Bioanalytical Chemistry
Issue number4
StatePublished - Jun 2005

Bibliographical note

Funding Information:
Acknowledgements This research was funded in part by KSEF-333-RDE-003, the NIH through HL58927, the NSF through DGE-9870691, and NIH and SESI through SC-NIAAA-93-01. The research is being carried out in part at the National Synchrotron Light Source, Brookhaven National Laboratory, which is supported by the US Department of Energy, Division of Materials Sciences and Division of Chemical Sciences, under Contract No. DE-AC02-98CH10886.

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry


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