Co-restoring Multimodal Microscopy Images

Author(s): Mingzhong Li and Zhaozheng Yin
Date of Publication: October 2015

We propose a novel microscopy image restoration algorithm capable of co-restoring Phase Contrast and Differential Interference Contrast (DIC) microscopy images captured on the same cell dish simultaneously. Cells with different phase retardation and DIC gradient signals are restored into a single image without the halo artifact from phase contrast or pseudo 3D shadow-casting effect from DIC. The co-restoration integrates the advantages of two imaging modalities and overcomes the drawbacks in single-modal image restoration. Evaluated on a datasets of five hundred pairs of phase contrast and DIC images, our corestoration method is proved to greatly facilitate the cell image analysis tasks such as cell segmentation and classification.

Citation: Li, M. and Yin, Z. Co-restoring Multimodal Microscopy Images. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, Volume 9351 of the series Lecture Notes in Computer Science pp 242-250
Team(s): Plant Team