Study of cell classification with a diffraction imaging flow cytometer method

Ke Dong; Kenneth M. Jacobs; Yu Sa; Yuanming Feng; Jun Q. Lu; Xin-Hua Hu

doi:10.1117/12.875096

11 February 2011 Study of cell classification with a diffraction imaging flow cytometer method

Ke Dong, Kenneth M. Jacobs, Yu Sa, Yuanming Feng, Jun Q. Lu, Xin-Hua Hu

Proceedings Volume 7902, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX; 790215 (2011) https://doi.org/10.1117/12.875096
Event: SPIE BiOS, 2011, San Francisco, California, United States

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.

Citation Download Citation

Ke Dong, Kenneth M. Jacobs, Yu Sa, Yuanming Feng, Jun Q. Lu, and Xin-Hua Hu "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 (11 February 2011); https://doi.org/10.1117/12.875096

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