【摘 要】
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Recently correlation of light and electron microscopy (CLEM) has witnessed the dramatic progress in biological research.Specific localization information of target protein provided by light microscopy
【机 构】
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College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei,
【出 处】
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The 9th Asian Biophysics Association Symposium (ABA2015)(第九届
论文部分内容阅读
Recently correlation of light and electron microscopy (CLEM) has witnessed the dramatic progress in biological research.Specific localization information of target protein provided by light microscopy, combined with high resolution structural information achieved by electron microscopy, provides a new insight into cell ultrastructure.While CLEM is provided to be a powerful method, the registration between LM and EM images is still challenging.In most approach, a brass grid with markers is used for searching corresponding regions between LM and EM images.Here we proposed a novel approach for rough alignment method for LM and EM image registration without help of brass grid.We applied the 3View System for EM acquisition combined with LM microscopy.While slicing the sample with a diamond knife, some fragments of sample were left on the surface of the sample.The fragments could be observed both under EM and LM imaging.First, we applied the image inpaint methods to restore the region where fragments covered.While removing the fragments in images, we can determine the location of the fragments on both LM and EM images at the same time.We made use of the localization of the fragments and find that the localization information is sufficient for rough alignment between LM and EM image.Because of different sample preparation procedure in 3View, the sample is not placed on a grid for alignment, so the fragment based alignment provides a new method for preliminary registration before fine calibration between EM and LM images.
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