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
Outputs
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.