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Development of an Advanced Hyperspectral Imaging (HSI) System with Applications for Cancer Detection

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An advanced hyper-spectral imaging (HSI) system has been developed having obvious applications for cancer detection. This HSI system is based on state-of-the-art liquid crystal tunable filter technology coupled to an endoscope. The goal of this unique HSI technology being developed is to obtain spatially resolved images of the slight differences in luminescent properties of malignant versus non-malignant tissues. In this report, the development of the instrument is discussed and the capability of the instrument is demonstrated by observing mouse carcinomas in-vivo. It is shown that the instrument successfully distinguishes between normal and malignant mouse skin. It is hoped that the results of this study will lead to advances in the optical diagnosis of cancer in humans.

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ACKNOWLEDGMENTS

The authors would like to thank Dr. Steven Kennel for providing the mice used in this study. The authors would also like to thank Dr. Roberto Lenarduzzi for his assistance with LabView programming. This work was supported by funding from the National Institute of Health under grant number RO1 CA88787-01 and by the U.S Department of Energy (DOE) Office of Chemical and Biological National Security and the DOE Office of Biological and Environmental Research, under contract DEAC05-000OR22725 with UT-Battelle. M. E. Martin, M. B. Wabuyele, Kui Chen, and Paul Kasili are supported by appointments to the Oak Ridge National Laboratory Postdoctoral Research Program administered jointly by the Oak Ridge Institute for Science and Education and Oak Ridge National Laboratory.

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Authors and Affiliations

  1. Center for Advanced Biomedical Phoronics, Life Sciences Division, Oak Ridge National Laboratory, Tennessee, North Carolina, 37831-6101

    Matthew E. Martin, Musundi B. Wabuyele, Kui Chen, Paul Kasili & Tuan Vo-Dinh

  2. Thompson Cancer Survival Center, 1915 White Avenue, Knoxville, Tennessee, 37916, North Carolina

    Masoud Panjehpour, Mary Phan & Bergein Overholt

  3. Mechanical Engineering Department, Tennessee Technological University, Cookeville, Tennessee, 38501, North Carolina

    Glenn Cunningham & Dale Wilson

  4. Department of Small Animal Clinical Sciences, University of Tennessee Veterinary School, Knoxville, Tennessee, 37996, North Carolina

    Robert C. DeNovo

  5. Fitzpatrick Institute for Photonics, Duke University, Durham, North Carolina, 27708-0291

    Tuan Vo-Dinh

  6. Present Adress: Fitzpatrick Institute for Photonics, Duke University, Durham, North Carolina, 27708-0291

    Tuan Vo-Dinh

Authors
  1. Matthew E. Martin
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  2. Musundi B. Wabuyele
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  3. Kui Chen
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  4. Paul Kasili
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  5. Masoud Panjehpour
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  6. Mary Phan
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  7. Bergein Overholt
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  8. Glenn Cunningham
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  9. Dale Wilson
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  10. Robert C. DeNovo
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  11. Tuan Vo-Dinh
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Correspondence to Tuan Vo-Dinh.

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Martin, M.E., Wabuyele, M.B., Chen, K. et al. Development of an Advanced Hyperspectral Imaging (HSI) System with Applications for Cancer Detection. Ann Biomed Eng 34, 1061–1068 (2006). https://doi.org/10.1007/s10439-006-9121-9

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  • DOI: https://doi.org/10.1007/s10439-006-9121-9

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