Automatic quantitative analysis of morphology of apoptotic HL-60 cells

Authors

  • Yahui Liu Department of Biomedical Engineering, Tianjin University, Tianjin, China
  • Wang Lin Department of Biomedical Engineering, Tianjin University, Tianjin, China
  • Xu Yang Department of Biomedical Engineering, Tianjin University, Tianjin, China
  • Weizi Liang Department of Biomedical Engineering, Tianjin University, Tianjin, China
  • Jun Zhang Department of Biomedical Engineering, Tianjin University, Tianjin, China
  • Maobin Meng Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin China
  • John R. Rice Department of Radiation Oncology, East Carolina University, Greenville, NC/USA
  • Yu Sa Department of Biomedical Engineering, Tianjin University, Tianjin, China
  • Yuanming Feng Department of Biomedical Engineering, Tianjin University, Tianjin, China; Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin China; Department of Radiation Oncology, East Carolina University, Greenville, NC/USA

Keywords:

cell morphology, quantitative analysis, apoptosis

Abstract

Morphological identification is a widespread procedure to assess the presence of apoptosis by visual inspection of the morphological characteristics or the fluorescence images. The procedure is lengthy and results are observer dependent. A quantitative automatic analysis is objective and would greatly help the routine work. We developed an image processing and segmentation method which combined the Otsu thresholding and morphological operators for apoptosis study. An automatic determination method of apoptotic stages of HL-60 cells with fluorescence images was developed. Comparison was made between normal cells, early apoptotic cells and late apoptotic cells about their geometric parameters which were defined to describe the features of cell morphology. The results demonstrated that the parameters we chose are very representative of the morphological characteristics of apoptotic cells. Significant differences exist between the cells in different stages, and automatic quantification of the differences can be achieved.

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Published

2014-01-29

How to Cite

Liu, Y., Lin, W., Yang, X., Liang, W., Zhang, J., Meng, M., … Feng, Y. (2014). Automatic quantitative analysis of morphology of apoptotic HL-60 cells. EXCLI Journal, 13, 19–27. Retrieved from https://www.excli.de/index.php/excli/article/view/680

Issue

Vol. 13 (2014)

Section

Original articles

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