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.
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Yin, Z., Su, H., Ker, E., Li, M., Li, H. (2014). Cell-Sensitive Microscopy Imaging for Cell Image Segmentation. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. MICCAI 2014. Lecture Notes in Computer Science, vol 8673. Springer, Cham. https://doi.org/10.1007/978-3-319-10404-1_6
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DOI: https://doi.org/10.1007/978-3-319-10404-1_6
Publisher Name: Springer, Cham
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