CODA

CODA reconstructs three-dimensional tissue volumes at subcellular resolution from serially sectioned hematoxylin and eosin-stained tissue sections for quantitative analysis of microanatomical structures.


Key Features:

  • Large-Scale Reconstruction: Handles tissue volumes up to multicentimeter cubed dimensions for whole-tissue structural studies.
  • Subcellular Resolution: Achieves subcellular precision enabling analysis of microanatomical and subcellular structures.
  • Quantifiable 3D Tissue Models: Produces quantifiable three-dimensional reconstructions amenable to structural analysis.
  • Serial H&E Input: Operates on serially sectioned hematoxylin and eosin-stained tissue sections as input data.
  • Multi-Structure Labeling: Supports labeling and analysis of multiple structures, demonstrated with ten distinct labeled structures.

Scientific Applications:

  • Cross-tissue Microanatomy Reconstruction: Demonstrated reconstruction of distinct microanatomical structures in pancreas, skin, lung, and liver.
  • Disease Progression and Tumorigenesis Analysis: Applied to study structural dynamics during disease progression and neoplastic transformation.
  • Pancreatic Tumorigenesis Mapping: Used to examine the microanatomy of the human pancreas during tumorigenesis within the branching ductal system.
  • Structural Heterogeneity and Morphology: Enabled investigation of heterogeneity and distinct 3D morphological phenotypes of precancerous lesions.
  • Tumor Spread Pathways: Revealed pancreatic cancer tendency to spread along collagen fibers aligned with ductal, lobular, vascular, and neural structures.

Methodology:

Reconstruction proceeds from serial sectioning of hematoxylin and eosin-stained tissue sections followed by detailed three-dimensional reconstruction and labeling of structures.

Topics

Details

License:
Not licensed
Tool Type:
command-line tool
Programming Languages:
MATLAB
Added:
1/8/2023
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Image analysis

Publications

Kiemen AL, Braxton AM, Grahn MP, Han KS, Babu JM, Reichel R, Jiang AC, Kim B, Hsu J, Amoa F, Reddy S, Hong S, Cornish TC, Thompson ED, Huang P, Wood LD, Hruban RH, Wirtz D, Wu P. CODA: quantitative 3D reconstruction of large tissues at cellular resolution. Nature Methods. 2022;19(11):1490-1499. doi:10.1038/s41592-022-01650-9. PMID:36280719. PMCID:PMC10500590.

PMID: 36280719
Funding: - Foundation for the National Institutes of Health: 5T32CA153952, U01AG060903, U52CA210173, U54CA268083