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Apoptosis detection for adherent cell populations in time-lapse phase-contrast microscopy images

Published: 01 October 2012 Publication History

Abstract

The detection of apoptosis, or programmed cell death, is important to understand the underlying mechanism of cell development. At present, apoptosis detection resorts to fluorescence or colorimetric assays, which may affect cell behavior and thus not allow long-term monitoring of intact cells. In this work, we present an image analysis method to detect apoptosis in time-lapse phase-contrast microscopy, which is non-destructive imaging. The method first detects candidates for apoptotic cells based on the optical principle of phase-contrast microscopy in connection with the properties of apoptotic cells. The temporal behavior of each candidate is then examined in its neighboring frames in order to determine if the candidate is indeed an apoptotic cell. When applied to three C2C12 myoblastic stem cell populations, which contain more than 1000 apoptosis, the method achieved around 90% accuracy in terms of average precision and recall.

References

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Fuchs, Y., Steller, H.: Programmed cell death in animal development and disease. Cell 147(4), 742-758 (2011)
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Huh, S., et al.: Automated mitosis detection of stem cell populations in phasecontrast microscopy images. IEEE Trans. Med. Imaging 30(3), 586-596 (2011)
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Yin, Z., Kanade, T., Chen, M.: Understanding the phase contrast optics to restore artifact-free microscopy images for segmentation. Med. Image Anal. 16(5), 1047-1062 (2012)
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http://www.microscopyu.com/articles/phasecontrast/phasemicroscopy.html
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Ojala, T., Pietikäinen, M., Mäenpää, T. T.: Multiresolution gray-scale and rotation invariant texture classification with local binary pattern. IEEE Trans. Pattern. Anal. Mach. Intell. 24(7), 971-987 (2002)
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Quattoni, A., Wang, S., Morency, L., Collins, M., Darrell, T.: Hidden conditional random fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(10), 1848-1853 (2007)
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Huh, S., Chen, M.: Detection of mitosis within a stem cell population of high cell confluence in phase-contrast microscopy images. In: IEEE CVPR, pp. 1033-1040 (2011)

Cited By

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  • (2022)Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell CulturesMedical Image Computing and Computer-Assisted Intervention – MICCAI 201410.1007/978-3-319-10470-6_20(154-161)Online publication date: 10-Mar-2022

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Published In

cover image Guide Proceedings
MICCAI'12: Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
October 2012
746 pages
ISBN:9783642334146
  • Editors:
  • Nicholas Ayache,
  • Hervé Delingette,
  • Polina Golland,
  • Kensaku Mori

Sponsors

  • ERC MedYMA: ERC MedYMA
  • Canon Median: Canon Median
  • Siemens
  • GE HEALTHCARE: GE Healthcare
  • Philips: Philips

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 October 2012

Author Tags

  1. apoptosis detection
  2. event detection in videos
  3. microscopy image restoration
  4. time-lapse phase-contrast microscopy

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Cited By

View all
  • (2022)Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell CulturesMedical Image Computing and Computer-Assisted Intervention – MICCAI 201410.1007/978-3-319-10470-6_20(154-161)Online publication date: 10-Mar-2022

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