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Hyperspectral Imaging and Analysis of Single Erythrocytes



Ji Y. Lee, Matthew L. Clarke, Fuyuki Tokumasu, John F. Lesoine, David W. Allen, Robert C. Chang, Maritoni A. Litorja, Jeeseong Hwang


We report a hyperspectral imaging and analysis technique to resolve unique physico-chemical characteristics of subcellular substances in single erythrocytes. We constructed a microscope system installed with a spectral light engine capable of controlling spectral shape of the illumination light by a digital micromirror device (DMD) and correct for the chromatic aberration. The hyperspectral imaging system and the sequential maximum angle convex cone (SMACC) algorithm allow us to extract spectral signatures for different types of hemoglobin, such as oxyhemoglobin, methemoglobin, and hemozoin in single erythrocytes. Further statistical analysis conducted on other data cubes were used to calculate the distribution of abundances of specific endmembers and to build the intracellular map of the distribution of substances of interest. Our imaging and analysis techniques enable label-free molecular imaging of endogenous biomarkers in single erythrocytes in order to build oxymetric standards in a cellular level and ultimately for in vivo as well.
IEEE Journal of Selected Topics in Quantum Electronics


hyperspectral imaging, spectral light engine, absorption spectra of hemoglobin, human erythrocyte (red blood cell), endmember analysis, sequential maximum angle convex cone (SMACC) algorithm, label- free molecular imaging


Lee, J. , Clarke, M. , Tokumasu, F. , Lesoine, J. , Allen, D. , Chang, R. , Litorja, M. and Hwang, J. (2011), Hyperspectral Imaging and Analysis of Single Erythrocytes, IEEE Journal of Selected Topics in Quantum Electronics, [online], (Accessed May 27, 2024)


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Created August 12, 2011, Updated January 27, 2020