Nature MethodsBioengineeringPeer-reviewed journal article
3D pathology-guided microdissection
Huai-Ching HsiehiD, Gan GaoiD, Qinghua Han, David BrenesiD, Elena BaraznenokiD, Renao YaniD, Robert SerafiniD, Kevin W. BishopiD, Rui WangiD, Eric Quentin KonnickiD, Colin C. PritchardiD, Sandy FigieliD, Freddie Charles HamdyiD, Ian Geoffrey MillsiD, Nicholas P. RederiD, Deepti ReddiiD, Thomas G. PaulsoniD, William M. GradyiD, Jacob E. ValkiD, Lawrence D. TrueiD, Michael C. HaffneriD, Srinivasa R. RaoiD, Dan J. WoodcockiD, Jonathan T.C. LiuiD
Abstract
Traditional micro- and macro-dissection techniques enable the extraction of localized regions in thin tissue sections for molecular analysis. Despite the growing use of 3D microscopy, analogous methods for volumetric microdissection are lacking. We have developed a 3D microdissection method based on computer numerical controlled (CNC) 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 2D methods.
- assay: imaging
- research focus: cell type annotation
- research focus: spatial domain detection
- approach: experimental assay
- Citations
- 3
- FWCI
- 8.12
- Field percentile
- top 4%
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