Abstract
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.
This research was supported by NSF CAREER award IIS-1351049, NSF EPSCoR grant IIA-1355406, ISC and CBSE centers at Missouri S&T.
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Jiang, W., Yin, Z. (2015). Restoring the Invisible Details in Differential Interference Contrast Microscopy Images. In: Navab, N., Hornegger, J., Wells, W., Frangi, A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science(), vol 9351. Springer, Cham. https://doi.org/10.1007/978-3-319-24574-4_41
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DOI: https://doi.org/10.1007/978-3-319-24574-4_41
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