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文章基本信息

  • 标题:Beyond multi view deconvolution for inherently aligned fluorescence tomography
  • 本地全文:下载
  • 作者:Daniele Ancora ; Gianluca Valentini ; Antonio Pifferi
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2021
  • 卷号:11
  • DOI:10.1038/s41598-021-95266-2
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:In multi-view fluorescence microscopy, each angular acquisition needs to be aligned with care to obtain an optimal volumetric reconstruction. Here, instead, we propose a neat protocol based on auto-correlation inversion, that leads directly to the formation of inherently aligned tomographies. Our method generates sharp reconstructions, with the same accuracy reachable after sub-pixel alignment but with improved point-spread-function. The procedure can be performed simultaneously with deconvolution further increasing the reconstruction resolution.
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