Paper
20 February 2018 Profiling pleural effusion cells by a diffraction imaging method
Safaa Al-Qaysi, Heng Hong, Yuhua Wen, Jun Q. Lu, Yuanming Feng, Xin-Hua Hu
Author Affiliations +
Abstract
Assay of cells in pleural effusion (PE) is an important means of disease diagnosis. Conventional cytology of effusion samples, however, has low sensitivity and depends heavily on the expertise of cytopathologists. We applied a polarization diffraction imaging flow cytometry method on effusion cells to investigate their features. Diffraction imaging of the PE cell samples has been performed on 6000 to 12000 cells for each effusion cell sample of three patients. After prescreening to remove images by cellular debris and aggregated non-cellular particles, the image textures were extracted with a gray level co-occurrence matrix (GLCM) algorithm. The distribution of the imaged cells in the GLCM parameters space was analyzed by a Gaussian Mixture Model (GMM) to determine the number of clusters among the effusion cells. These results yield insight on textural features of diffraction images and related cellular morphology in effusion samples and can be used toward the development of a label-free method for effusion cells assay.
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Safaa Al-Qaysi, Heng Hong, Yuhua Wen, Jun Q. Lu, Yuanming Feng, and Xin-Hua Hu "Profiling pleural effusion cells by a diffraction imaging method", Proc. SPIE 10497, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVI, 104971J (20 February 2018); https://doi.org/10.1117/12.2288386
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KEYWORDS
Diffraction

Polarization

Imaging systems

Light scattering

Profiling

Cancer

Flow cytometry

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