Restoring the Invisible Details in Differential Interference Contrast Microscopy Images
Automated image restoration in microscopy, especially in Differential Interference Contrast (DIC) imaging modality, has attracted increasing attention since it greatly facilitates living cell analysis. Previous work is able to restore the nuclei of living cells, but it is very challenging to reconstruct the unnoticeable cytoplasm details in DIC images. In this paper, we propose to extract the tiny movement information of living cells in DIC images and reveal the hidden details in DIC images by magnifying the cell's motion as well as attenuating the intensity variation from the background. From our restored images, we can clearly observe the previously-invisible details in DIC images. Experiments on two DIC image datasets demonstrate that the motion-based restoration method can reveal the hidden details of living cells, providing promising results on facilitating cell shape and behavior analysis.
W. Jiang and Z. Yin, "Restoring the Invisible Details in Differential Interference Contrast Microscopy Images," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9351, pp. 340-348, Springer Verlag, Oct 2015.
The definitive version is available at http://dx.doi.org/10.1007/978-3-319-24574-4_41
Keywords and Phrases
Cells; Cytology; Image Analysis; Image Processing; Image Reconstruction; Medical Computing; Restoration; Behavior Analysis; Cell Shapes; Differential Interference Contrast Imaging; Differential Interference Contrast Microscopy; Image Datasets; Intensity Variations; Living Cell; Restoration Methods; Medical Imaging
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