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Proceedings Article

Study of cell classification with a diffraction imaging flow cytometer method

[+] Author Affiliations
Ke Dong

TEO Systems, Inc. (USA)

Kenneth M. Jacobs, Jun Q. Lu

East Carolina Univ. (USA)

Yu Sa, Yuanming Feng

Tianjin Univ. (China)

Xin-Hua Hu

TEO Systems, Inc. (USA) and East Carolina Univ. (USA)

Proc. SPIE 7902, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 790215 (February 10, 2011); doi:10.1117/12.875096
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From Conference Volume 7902

  • Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX
  • Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif
  • San Francisco, California, USA | January 22, 2011

abstract

With a diffraction imaging flow cytometer, we have acquired and analyzed the diffraction imaging data from 5 types of cultured cells. A gray level co-occurrence matrix (GLCM) algorithm was applied to extract the interference fringe related textures from the diffraction image data. Six GLCM parameters were chosen and imported into a support vector machine algorithm for automated classification of about 20 cells for each of the 5 cell types. We found that the GLCM based algorithm has the capacity for rapid processing of diffraction images and yield feature parameters for subsequent cell classification except the T- and B-lymphocytes.

© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Ke Dong ; Kenneth M. Jacobs ; Yu Sa ; Yuanming Feng ; Jun Q. Lu, et al.
"Study of cell classification with a diffraction imaging flow cytometer method", Proc. SPIE 7902, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 790215 (February 10, 2011); doi:10.1117/12.875096; http://dx.doi.org/10.1117/12.875096


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