• Spectroscopy and Spectral Analysis
  • Vol. 29, Issue 12, 3216 (2009)
XU Hao1, CHEN Chuang2, LIU Chun-mei1, PENG Jun1, LIYan2, ZHANG Zhi-ling1, and TANG Hong-wu1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    XU Hao, CHEN Chuang, LIU Chun-mei, PENG Jun, LIYan, ZHANG Zhi-ling, TANG Hong-wu. The Distribution Analysis of the Biomarkers on Breast Cancer Tissues by Hadamard Transform Spectral Microscopic Imaging[J]. Spectroscopy and Spectral Analysis, 2009, 29(12): 3216 Copy Citation Text show less

    Abstract

    Multi-functional Hadamard transform spectral microscopic imaging system was employed to provide high-resolutional fluorescence spectrum and image of tiny samples such as single cells and tissues. Semiconductor quan-tum dots (QDs) have several photo-physical advantages such as broad excitation spectrum, multi-color fluorescence with one single wavelength light source, narrow fluorescence emission peak, high photostability and long fluores-cence lifetime, which make QDs good markers of the fluorescence spectral imaging microscopic analysis in biomedical applications. Based on immunostaining with quantum dots (QDs) emitting at 610 nm to tag and trace two breast cancer biomarkers human epidermal growth factor receptor2 (HER2) and estrogen receptor(ER) in human breast cancer tissue with in situ fluorescence imaging, sensitive spectra and images were obtained. Moreover, by compa-ring the differences of fluorescence spectra and 4D images between positive samples, (the human breast cancertis-sues) and negative control, (the normal human breast tissues) by Hadamard transform spectral microscopic imaging system, a method to evaluate tumor malignancy of breast cancer tissues based on the analysis of distribution of HER2 and ER was proposed. The results show that the Hadamard system can be applied to visualize and quantitatively measure the subcellular proteins such as HER2 and ER inside the tumor tissues. The method developed with the above technique can be applied to quantitatively evaluate tumor malignancy and is advantageous over conventional method.
    XU Hao, CHEN Chuang, LIU Chun-mei, PENG Jun, LIYan, ZHANG Zhi-ling, TANG Hong-wu. The Distribution Analysis of the Biomarkers on Breast Cancer Tissues by Hadamard Transform Spectral Microscopic Imaging[J]. Spectroscopy and Spectral Analysis, 2009, 29(12): 3216
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