Microscopic imaging improvement combining gradient constraint model and multi-fields of view analysis

Wei-ping Hua; Ju-feng Zhao; Guang-mang Cui; Peng Ge; Jiang Zhang

doi:10.1117/12.2511343

7 November 2018 Microscopic imaging improvement combining gradient constraint model and multi-fields of view analysis

Wei-ping Hua, Ju-feng Zhao, Guang-mang Cui, Peng Ge, Jiang Zhang

Proceedings Volume 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications; 1083218 (2018) https://doi.org/10.1117/12.2511343
Event: Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 2018, Changchun, China

Abstract

Based on multiple fields of view (FOV) point spread function (PSF) estimation, we propose a novel gradient-constrained image restoration method to solve optical degradation in microscopic imaging. The whole FOV is segmented into several parts. The modulation transfer function (MTF) is measured to obtain the corresponding PSF for each part. L0 gradient constraint is treated as a regularization term, a fast image restoration method is designed to deblur degraded images of each field of view. Finally, gradual weight approach is used to stitch the multiple field of view (m-FOV) restoration images. Several microscopic images are tested and evaluated. Comparing with other methods, the results indicate that our method performs better, and runs fastest of all.

Citation Download Citation

Wei-ping Hua, Ju-feng Zhao, Guang-mang Cui, Peng Ge, and Jiang Zhang " Microscopic imaging improvement combining gradient constraint model and multi-fields of view analysis ", Proc. SPIE 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 1083218 (7 November 2018); https://doi.org/10.1117/12.2511343

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