Distortion Correction and Intensity Inhomogeneity Correction of Glomerulus Transmission Electron Microscope Image_Journal of Biomedical Engineering

Authors：

1. School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China;
2. Electron Microscope Lab at school of basic medical sciences, Southern Medical University, Guangzhou 510515, China;

Corresponding author：

Keywords：

image model of transmission electron microscope; intensity inhomogeneity correction; geometric distortion correction; glomerulus; image distortion

DOI：

10.7507/1001-5515.20160123

Video：

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In order to get high-resolution glomerulus image with large field of view (FOV), stitching multiple small FOV images with high-resolution is necessary. Directly stitching images without properly correction is not acceptable and cannot afford any significant assistance in pathological diagnosis for intensity inhomogeneity and geometric distortion. Therefore we proposed a method of distortion correction and intensity inhomogeneity correction of glomerulus transmission electron microscope (TEM) image. In this paper, we firstly describe how these two distortions degrade images. Secondly, based on the TEM imaging system, image acquisition model and distortion correction model were proposed. Then according to these two models, distortions were greatly degraded and stitching results were improved by respectively applying two corrections, intensity inhomogeneity correction and geometric distortion correction. With the method proposed here, the result was improved significantly and stripes, fuzzy and artifacts were decreased dramatically. Our method has been proved to be valid to solve the problems of TEM glomerulus image distortion and at the same time to improve the result of multiple TEM glomerulus image stitching.

Citation： WUZhuobin, LIMu, LUYanmeng, CAOLei. Distortion Correction and Intensity Inhomogeneity Correction of Glomerulus Transmission Electron Microscope Image. Journal of Biomedical Engineering, 2016, 33(4): 755-761. doi: 10.7507/1001-5515.20160123 Copy

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1. TASDIZENZ T, JURRUS E, WHITAKER R T. Non-uniform Illumination Correction in Transmission Electron Microscopy[C]:MICCAI Workshop on Microscopic Image Analysis with Applications in Biology, 2008:5-6.
2. KAYNIG V, FISCHER B, MVLLER E, et al. Fully automatic stitching and distortion correction of transmission electron microscope images[J]. J Struct Biol, 2010, 171(2):163-173.
3. MEEK G. Practical electron microscopy for biologists[M]. 2nd ed. London:Wiley & Sons Ltd, 1976.
4. VOVK U, PERNUS F, LIKAR B. A review of methods for correction of intensity inhomogeneity in MRI[J]. IEEE Trans Med Imaging, 2007, 26(3):405-421.
5. STYNER M, BRECHBÉHLER C, SZÉKELY G, et al. Parametric estimate of intensity inhomogeneities applied to MRI[J]. IEEE Trans Med Imaging, 2000, 19(3):153-165.
6. SAMSONOV A A, WHITAKER R T, KHOLMOVSKI E G, et al. Parametric method for correction of intensity inhomogeneity in MRI data[C]//Proc of 10th Annual Scientific Meeting of Int. Society for Magnetic Resonance in Medicine, Hawaii:2002:154.
7. SCHERZER O S, Sphärische und chromatische Korrektur[M]. Elektronenlinsen. 1947, 2:114-132.
8. KNUT U, BERND K, MAX H, et al. A way to higher resolution:spherical-aberration correction in a 200 kV transmission electron microscope[J]. Ultramicroscopy, 1998, 75(1):53-60.
9. CAPITANI G C, OLEYNIKOV P, HOVMÖLLER S, et al. A practical method to detect and correct for lens distortion in the TEM[J]. Ultramicroscopy, 2006, 106(2):66-74.
10. WEN W, WAN F-h, LI D, et al. Restoring defect structures in 3C-SiC/Si(0 0 1)from spherical aberration-corrected high-resolution transmission electron microscope images by means of deconvolution processing C[J]. Micron, 2015, 71:22-31.
11. KOSHEVOY P, TASDIZEN T, ROSS W, et al. Assembly of large three-dimensional volumes from serial-section transmission electron microscopy[C]//Proceedings of 2006 MICCAI Workshop on Microscopic Image Analysis with Applications in Biology, Copenhagen:2006:1-8.
12. LOWE D G. Distinctive image features from Scale-Invariant keypoints[J]. Int J Comput Vis, 2004, 60(2):91-110.

Journal of Biomedical Engineering

Distortion Correction and Intensity Inhomogeneity Correction of Glomerulus Transmission Electron Microscope Image

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