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Publications

Journal Article Ahead of print

PubMed: 42332091 DOI: 10.1038/s41592-026-03141-7

3D pathology-guided microdissection.

Nat Methods

Authors: 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

Affiliations

  • Department of Bioengineering, Stanford University, Stanford, CA, USA.
  • Department of Pathology, Stanford University, Stanford, CA, USA.
  • Department of Mechanical Engineering, University of Washington, Seattle, WA, USA.
  • Department of Bioengineering, University of Washington, Seattle, WA, USA.
  • Section of Hematology & Oncology, Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Department of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.
  • Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
  • Alpenglow Biosciences, Seattle, WA, USA.
  • Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Department of Medicine, University of Washington, Seattle, WA, USA.
  • Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Big Data Institute, University of Oxford, Oxford, UK.
  • Department of Bioengineering, Stanford University, Stanford, CA, USA.
  • Department of Pathology, Stanford University, Stanford, CA, USA.
  • Department of Mechanical Engineering, University of Washington, Seattle, WA, USA.
  • Department of Bioengineering, University of Washington, Seattle, WA, USA.
  • Department of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.

Abstract

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.

MeSH

Pathology, Microscopy, Microdissection