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<p>Traditional micro- and macrodissection techniques enable the extraction of localized regions in thin tissue sections for molecular analysis. Despite the growing use of three-dimensional (3D) microscopy, analogous methods for volumetric microdissection are lacking. Here we have developed a 3D microdissection method based on computer numerical controlled milling integrated with open-top light-sheet microscopy. We demonstrate the ability to study tumor evolution along convoluted 3D branching architectures, which is inaccessible to two-dimensional methods.</p>

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3D pathology-guided microdissection

  • 期刊论文

  • 发表日期：

    2026年6月22日

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  • Huai-Ching Hsieh,
  • Gan Gao,
  • Qinghua Han,
  • David Brenes,
  • Elena Baraznenok,
  • Renao Yan,
  • Robert Serafin,
  • Kevin W. Bishop,
  • Rui Wang,
  • Eric Q. Konnick,
  • Colin C. Pritchard,
  • Sandy Figiel,
  • Freddie C. Hamdy,
  • Ian G. Mills,
  • Nicholas P. Reder,
  • Deepti M. Reddi,
  • Thomas G. Paulson,
  • William M. Grady,
  • Jacob E. Valk,
  • Lawrence D. True,
  • Michael C. Haffner,
  • Srinivasa R. Rao,
  • Dan J. Woodcock,
  • Jonathan T. C. Liu

摘要

Traditional micro- and macrodissection techniques enable the extraction of localized regions in thin tissue sections for molecular analysis. Despite the growing use of three-dimensional (3D) microscopy, analogous methods for volumetric microdissection are lacking. Here we have developed a 3D microdissection method based on computer numerical controlled milling integrated with open-top light-sheet microscopy. We demonstrate the ability to study tumor evolution along convoluted 3D branching architectures, which is inaccessible to two-dimensional methods.