Ground truth 3D data
Ground-truth 3D tissue data for robust AI models and diagnostics.
Alpenglow Biosciences creates annotated, 3D tissue imaging datasets that preserve intact tissue architecture, spatial relationships, and rare biological features for AI model development, diagnostic validation, biomarker research, and benchmarking.
01 Ground truth defined
What is ground-truth 3D tissue data?
Answer in brief
Ground-truth 3D tissue data combines intact tissue imaging, expert annotations, quantitative measurements, and spatial biological context within a structured volumetric dataset.
Image intact tissue
Capture tissue architecture across depth through high-resolution 3D tissue imaging.
Process and align
Use 3Dm™ to organize volumetric data and align imaging channels within the same spatial coordinate system.
Annotate and quantify
Link expert interpretation with cells, tissue compartments, structures, and quantitative measurements.
Structure the dataset
Organize volumetric images, annotations, measurements, and associated metadata into a traceable dataset.
02 Why volumetric context matters
Why does ground-truth 3D tissue data matter for AI models and diagnostics?
Answer in brief
A selected 2D section may not represent how a biological feature is distributed across the full tissue volume. Ground-truth 3D data provides broader spatial context for defining, locating, and measuring tissue features used in model development and diagnostic evaluation.
What biological context can selected 2D sections miss?
A thin section shows one plane through a larger structure. Features such as tissue boundaries, branching networks, cellular distributions, and relationships between neighboring compartments can change across depth. Volumetric imaging makes it possible to examine those features continuously across the tissue.
How can tissue sampling affect ground-truth labels?
Labels derived from selected sections may describe what is visible in that plane without capturing the complete extent of a structure, lesion, or tissue region. 3D data provide a broader reference for defining feature boundaries, distributions, and spatial relationships.
Why do rare or spatially restricted features require volumetric context?
Rare cells, focal lesions, tertiary lymphoid structures, and other localized events may occur outside a selected section or appear differently across depth. Whole tissue 3D imaging increases the tissue volume available for locating and measuring these spatially restricted features.
03 Applications
What can teams do with ground-truth 3D tissue data?
Answer in brief
Teams can use ground-truth 3D tissue data to develop training sets, evaluate diagnostic algorithms, create benchmark datasets, and connect imaging features with molecular and spatial biology measurements.
Train AI models on volumetric tissue data
Build datasets that connect image volumes with defined cells, structures, regions, and quantitative features for supervised model development.
Evaluate diagnostic algorithms
Compare algorithm outputs with expert-defined features and reference measurements across complete tissue volumes.
Create benchmark and reference datasets
Establish traceable datasets for comparing models, testing analysis methods, and evaluating performance across defined biological features.
Connect imaging with spatial biology
Relate morphology and quantitative imaging features to marker expression, molecular signals, and spatially resolved biological measurements.
Designed for multidisciplinary programs
One dataset, multiple development paths.
Ground-truth 3D tissue data can support AI and machine learning teams, digital pathology groups, diagnostic developers, spatial biology researchers, and translational programs working from the same biological reference.
04 Ground truth in practice
How is ground-truth 3D data being applied to AI-enabled diagnostics?
A collaboration between Alpenglow Biosciences and Virdx is using whole-tissue 3D light-sheet microscopy to create high-resolution reference data for MRI-based prostate cancer diagnostics.
Prostate cancer diagnostics
Connecting 3D pathology with MRI-based detection.
The project is building a comprehensive 3D microscopy dataset from human prostate tissue to assess and enhance Virdx’s AI-enabled diagnostic approach.
Build better AI datasets
Turn 3D tissue imaging into ground truth data for AI and diagnostics.
Explore how Alpenglow supports AI-ready volumetric datasets, digital pathology, spatial biology, expert annotations, AI-powered analysis, and quantitative tissue analysis from intact tissue samples.