Why 3D Tissue Imaging?

Because Biology Isn’t Flat.

Explore intact tissue in full spatial context—no sectioning, no artifacts, and no missing information. Our end-to-end 3D platform delivers deeper insight, faster decisions, and greater confidence in every sample.

Essential Use Cases That Demand 3D Imaging

Convoluted shapes

Diagram comparing a 2D slide view and 3D reality of intertwined structures with nodes.

2D slices distort complex structures like vasculature, neurons, and glands, leading to inaccurate metrics.

Alpenglow quantifies full 3D morphology, capturing true volume, path length, branching angles, and even fractal complexity; precision that 2D can’t approximate.

Use cases

  • Track neuronal architecture in the enteric and peripheral nervous systems

  • Map vascular remodeling in dementia, tumors, ischemia, and placental development

  • Quantify fibrotic changes in liver, kidney, and lung disease with volumetric accuracy


Complex Cellular Distributions

Diagram showing contrast between 2D slide view and 3D reality using spheres.

2D histology erases microenvironmental context.

Alpenglow captures full 3D distributions across the tumor microenvironment, fibrotic tissue, and immune infiltrates; revealing spatial context that 2D slices erase.

Use cases

  • Analyze immune-tumor interactions across the full microenvironment

  • Visualize amyloid and tau deposits in 3D space

  • Quantify immune cell types and co-localization in inflamed tissue


Rare Objects Detection

Comparison of 2D slide view and 3D reality with objects, showing perspective differences between two-dimensional and three-dimensional views.

Rare cells and drug targets often go undetected in thin sections.

Use cases

  • Detect genetically labeled rare cells across entire tissue volumes

  • Assess drug localization in target regions with full-volume context

  • Track stem and progenitor cells over time

  • Identify spatially distinct subclones in patient-derived xenografts

Alpenglow’s slide-free 3D imaging uncovers them—across the full tissue volume.

How 3D Imaging Advances Discovery, Validation, and Diagnostics

Mechanism of Action

Drugs work in 3D tissue, not 2D slides.
Alpenglow shows how therapies engage their targets within the whole tissue architecture, revealing immune cell activation, tissue remodeling, and structural response that flat slices obscure.

Applications:
– Spatial tracking of immune activation in solid tumors
– Neuronal remodeling in neuroinflammatory disease
– Fibrosis progression and regression in lung, liver, kidney

Purple magnifying glass with plus sign and two purple abstract shapes

Predictive Capabilities

Alpenglow extracts patterns that drive decision-making:
– Distance between immune cells and tumor nests
– Vessel density shifts before efficacy markers
– Off-target accumulation in neural tissue

These spatial features feed predictive models that improve stratification, optimize dosing, and personalize treatment before clinical trials begin.

Grid with dots and rising arrow, symbolizing growth or progress

Target Confirmation and Biodistribution

In preclinical studies, partial slices miss the full picture of where a drug goes and what it touches.

Alpenglow delivers whole-tissue, high-resolution 3D imaging to map biodistribution across blood vessels, nerves, immune zones, and fibrotic regions.

You don’t need to guess from limited sections. You see the full spatial spread—confirming engagement, detecting off-target toxicity, and validating delivery strategies—before clinical trials begin.

Icon of a liver in blue outline with simplified internal structure.

Revolutionizing pathology with 3D Spatial Biology.

Traditional 2D histology flattens complex tissue, losing vital spatial context.

3D imaging captures full tissue architecture, providing deeper insights into disease, cellular interactions, and immune responses.

Our Hybrid Open-Top Light-Sheet (OTLS) microscope enables high-resolution, high-throughput analysis of entire tissue samples or multi-well plates, preserving samples’ 3D structure.

With AI-powered software and image processing, researchers can visualize and quantify complex spatial biology, unlocking insights 2D methods miss—transforming the way we understand and treat disease.