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Cell-Sensitive Microscopy Imaging for Cell Image Segmentation

  • Zhaozheng Yin
  • Hang Su
  • Elmer Ker
  • Mingzhong Li
  • Haohan Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8673)

Abstract

We propose a novel cell segmentation approach by estimating a cell-sensitive camera response function based on variously exposed phase contrast microscopy images on the same cell dish. Using the cell-sensitive microscopy imaging, cells’ original irradiance signals are restored from all exposures and the irradiance signals on non-cell background regions are restored as a uniform constant (i.e., the imaging system is sensitive to cells only but insensitive to non-cell background). Cell segmentation is then performed on the restored irradiance signals by simple thresholding. The experimental results validate that high quality cell segmentation can be achieved by our approach.

Keywords

Background Pixel High Dynamic Range Image Cell Segmentation Simple Thresholding Phase Contrast Optic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Zhaozheng Yin
    • 1
  • Hang Su
    • 2
  • Elmer Ker
    • 3
  • Mingzhong Li
    • 1
  • Haohan Li
    • 1
  1. 1.Department of Computer ScienceMissouri University of Science and TechnologyUSA
  2. 2.Department of Electronic EngineeringShanghai Jiaotong UniversityChina
  3. 3.Department of Orthopedic SurgeryStanford UniversityUSA

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