Lessons from 3D Reconstruction of Cancer

Imaging biological samples in three dimensions across scales is essential for capturing the complex spatial relationships that govern cancer initiation, invasion, and therapeutic response. As biological inquiry shifts from isolated molecular measurements toward spatially contextualized, multiomic profiling, new strategies have emerged to reconstruct tissue architecture at the whole-organ scale and subcellular resolution. These advances offer more anatomically faithful representations of tissue organization and open doors to integrating morphology with deep multiomic profiling in spatially resolved formats. As a result, we are improving our understanding of inter- and intratumoral heterogeneity and the key role of rare events and minority cell populations in tumor progression. The primary techniques used for 3D imaging of tumors include intact tissue imaging for targeted visualization of biological processes and serial sectioning for integration of diverse, multiomic platforms. In this review, we survey the major technologies used to image tumors in three dimensions, highlighting key methodologies, trade-offs, and recent innovations that make these approaches increasingly central to modern cancer research.

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Publication Details

Journal
Annual Review of Cancer Biology
Published
2025-11-26
DOI
https://doi.org/10.1146/annurev-cancerbio-070924-011950
Primary Topic
Cell Image Analysis Techniques
Type
article
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article

Lessons from 3D Reconstruction of Cancer

Ashley Kiemen, Laura DeLong Wood
Annual Review of Cancer Biology
Cell Image Analysis Techniques
article

Lessons from 3D Reconstruction of Cancer

Ashley Kiemen, Laura DeLong Wood
article en

Abstract

Imaging biological samples in three dimensions across scales is essential for capturing the complex spatial relationships that govern cancer initiation, invasion, and therapeutic response. As biological inquiry shifts from isolated molecular measurements toward spatially contextualized, multiomic profiling, new strategies have emerged to reconstruct tissue architecture at the whole-organ scale and subcellular resolution. These advances offer more anatomically faithful representations of tissue organization and open doors to integrating morphology with deep multiomic profiling in spatially resolved formats. As a result, we are improving our understanding of inter- and intratumoral heterogeneity and the key role of rare events and minority cell populations in tumor progression. The primary techniques used for 3D imaging of tumors include intact tissue imaging for targeted visualization of biological processes and serial sectioning for integration of diverse, multiomic platforms. In this review, we survey the major technologies used to image tumors in three dimensions, highlighting key methodologies, trade-offs, and recent innovations that make these approaches increasingly central to modern cancer research.

Annual Review of Cancer Biology
Johns Hopkins University (US), Johns Hopkins Medicine (US)
Openalex Percentile: Top 75%
Cell Image Analysis Techniques
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