Cell-Sensitive Microscopy Imaging for Cell Image Segmentation
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.
Z. Yin et al., "Cell-Sensitive Microscopy Imaging for Cell Image Segmentation," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8673 LNCS, no. 1, pp. 41-48, Springer Verlag, Sep 2014.
The definitive version is available at https://doi.org/10.1007/978-3-319-10404-1_6
Keywords and Phrases
Cells; Image Segmentation; Restoration; Cells; Cytology; Medical Computing; Medical Imaging; Restoration; Background Region; Camera Response Functions; Cell Image Segmentation; Cell Segmentation; High Quality; Microscopy Imaging; Phase-Contrast Microscopy Images; Thresholding; Cytology; Image Segmentation
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Article - Conference proceedings
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