Abstract
Confocal microscopy is a popular technique for 3D imaging of biological specimens. Confocal microscopy images are degraded by residual out of focus light. Several restoration methods have been proposed to reduce these degradations. The major one is Richardson Lucy based deconvolution (RL). Even when employing this method images are still blurry. This is mainly caused due to spherical aberration that depends on the distance from lens. Hence, in the previous study, the restoration method is taking only the depth direction into account. In this paper, predicting PSF more correctly, an image restoring method using RL method and Point Spread Function that is considered based on the depth and horizontal effect of direction, is proposed.
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References
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Morioka, Y., Inoue, K., Yoshioka, M., Teranishi, M., Murayama, T. (2019). Blur Restoration of Confocal Microscopy with Depth and Horizontal Dependent PSF. In: RodrÃguez, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. DCAI 2018. Advances in Intelligent Systems and Computing, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-319-99608-0_19
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DOI: https://doi.org/10.1007/978-3-319-99608-0_19
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