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Bi_2(Sr_(0.9)La_(0.1))_2CoO_y晶体超结构的电子晶体学研究 被引量:1

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摘要 把高分辨电子显微学与电子衍射相结合,通过像的解卷和相位外推两步的图像处理技术,可以把任意离焦条件的单张高分辨电子显微像转换成结构像,最终像的分辨率可达电子衍射分辨极限,从而分辨出全部原子[1]。应用此技术已测定了一些晶体结构[1]。本文用这种图像处理...
作者 蒋华 李方华
出处 《电子显微学报》 CAS CSCD 1998年第5期523-524,共2页 Journal of Chinese Electron Microscopy Society
基金 国家自然科学基金委员会
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同被引文献15

  • 1He Wanzhong, Li Fanghua. Image deconvolution for defected crystals in field emission high resolution electron microscopy[J]. Uhramicroscopy, 1997, 70(1/2): 1-11.
  • 2Li Fanghua, Wang Di, He Wanzhong, et al. Amplitude correction in image deconvolution for determining crystal defects at atomic level [J]. Electron Microscopy, 2000, 49 (1): 17-24.
  • 3Fan Haifu, 1.i Yang, Wang Zhenhua, et al. Electron Crystallographic Study of Incommensurate Modulated Structures [J]. Microscopy and Microanalysis, 2002, 8 (2) : 308-309.
  • 4Fan Haifu. Hao Quan, Harvey, et al. Applications of direct methods with single isomorphous replacement or one wavelength anomalous scattering data[J]. Direct Methods for Solving Macromolecular Structures, 1998, 507(1) : 479- 485.
  • 5Fan Haifu, Woolfson M M, Yao Jiaxing, et al. New techniques of applying multi-wavelength anomalous scattering data [C/OL]//Proe of the Royal Society A: Mathematical. Physical and Engineering Sciences. 1993:13-32 [2011 05- 01 ]. http ://rspa. royalsocietypublishing, org/content/442/1914/ 13. full. pdf+ html.
  • 6Fan Haifu. HaoQuan, Gu Yuanxin, et al. Combining direct methods with isomorphous replacement or anomalous scattering dat small protein 46(11): 935- aVII. Ab initio phasing of the OAS data froma [J]. Acta Crystallographica Section A, 1990, 939.
  • 7Li Fanghua, Fan Haifu, Zhao Zhongxian. Electron crystallographic study of superconducting oxides and related compounds [J]. Physica C: Supercoductivity, 1997, 282 (1): 101-101.
  • 8马中骐.物理学中的群论[M].北京:科学出版社,2006.
  • 9Xian Min, I.i Fanzhang. A homology coboundary learning algorithm for data reduction [C] //Proc of 2008 Int Conf on Advanced Intelligence. Piscatawy, N J: IEEE, 2008:97-102.
  • 10Roweis S T, Saul L K. Nonlinear dimensionality reduction byloeallylinear embedding[J].Seienee, 2000, 290(5500): 2323-2326.

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