Summit AI™ AI-Powered Multimodal Tissue Analysis Platform

Summit AI™ automates segmentation, cell phenotyping, and spatial analysis across 3D tissue datasets and multimodal spatial biology data. Its agentic AI enables researchers to investigate biological questions using natural language and generate quantitative results and scientific reports.

Why Summit AI™

Spend Less Time Building Analysis Pipelines. More Time Investigating Biology.

As tissue datasets grow in size and complexity, researchers need analytical workflows that can keep pace without diverting time and resources from biological investigation.

Traditional Workflows

Fragmented, Project-Specific Analysis

  • Separate tools for image review, segmentation, spatial analysis, and reporting
  • Repeated scripting and pipeline development for new studies
  • Manual handoffs between biologists, pathologists, and computational teams
  • Measurements that can be difficult to standardize across cohorts
With Summit AI™

Connected, Reusable Analysis

  • Segmentation, spatial measurements, and reporting in connected workflows
  • Models and analytical methods that can be refined and reused
  • Expert-guided review and collaborative scientific analysis
  • Structured, image-linked results for consistent comparisons across samples and study groups

From Multimodal Tissue Data to Quantitative Results

Inputs

3D Tissue Imaging

High-resolution volumetric images and tissue morphology

Spatial Biology

Spatial transcriptomics, proteomics, and molecular maps.

2D Digital Pathology

H&E, IHC, and multiplex whole-slide images.

Study & Clinical Data

Treatment, timepoint, cohort, response, and outcomes.

Outputs

Tissue Measurements

Cellular, structural, and spatial measurements

Cross-Sample & Cohort Comparisons

Differences across samples, groups, and timepoints

Structured Results & Reports

Quantitative tables, visualizations, and scientific reports

Analyze Massive 3D Tissue Datasets at Scale

High-resolution 3D tissue imaging generates datasets spanning thousands of optical sections and trillions of pixels. Summit AI™ makes these volumes computationally accessible for quantitative analysis across entire tissue samples.

High Resolution at Large Scale

Analyze cellular detail across extensive tissue volumes without limiting the investigation to isolated regions.

Continuous 3D Structures

Analyze nerves, vessels, follicles, and other connected structures across tissue depth.

Automated Image Analysis, From Segmentation to Spatial Quantification

Summit AI™ identifies and characterizes cells and tissue structures, measures their morphology and spatial relationships, and organizes quantitative features within connected analytical workflows.

Segmentation & Phenotyping

Identify cells and anatomical structures, and characterize populations using markers, morphology, and tissue context.

Morphometric & Spatial Analysis

Quantify shape, volume, intensity, cell density, proximity, clustering, and spatial neighborhoods.

Connected, Reusable Workflows

Reuse analytical models and extracted features across additional samples and studies, reducing the need to rebuild workflows for every project.

Agentic AI: Ask Biological Questions Directly

Ask questions about your tissue data in natural language. Summit AI™ translates them into analytical workflows, allowing researchers to investigate biological relationships and explore quantitative results without writing code.

Example questions
Illustrative Summit AI™ Analysis

Is there mast cell infiltration near nerve fibers?

Analysis

Identify mast cells and nerve fibers, then measure local cell density and proximity across the tissue.

Quantitative Outputs

Mast cell density, cell-to-nerve distances, regional enrichment, and spatial distributions.

AI Models Built on Extensive 3D Tissue Data

Summit AI™ model development draws on an extensive collection of high-resolution 3D tissue datasets spanning multiple tissues, disease states, and staining conditions.

~1,500
3D Tissue Samples
16+
Tissue and Staining Contexts
500+ TB
3D Imaging Data

Expert-Guided Model Refinement

Expert annotations and uncertainty-aware review help adapt segmentation models to specific tissues, markers, and research questions.

01

Predict

Apply AI models to segment cells, structures, and regions of interest.

02

Identify Uncertainty

Highlight low-confidence predictions for targeted inspection.

03

Expert Review

Correct ambiguous predictions and provide focused annotations.

04

Refine

Use reviewed corrections to improve models for related samples and studies.

Image-linked scientific review. Predictions, annotations, and measurements remain connected to the source images for inspection and verification.

Quantitative Tissue Analysis for Translational Research

Transform complex tissue datasets into quantitative measurements that can characterize biological variation across samples and study groups.

Large-Scale Study Example

Quantitative Analysis at Scale

In a clinical tissue study, Summit AI™ was used to analyze a high-resolution dataset comprising:

66 Tissue Samples
12T Image Pixels

Quantitative Tissue Signatures

Cellular, structural, and spatial measurements can be combined to characterize tissue states and investigate differences across biological conditions.

Example Summit AI scientific report showing follicle, immune-cell, and nerve spatial analysis with quantitative metrics and summary findings
Example Summit AI™ scientific report showing follicle and immune-cell spatial measurements. Demonstration dataset.
Tissue Signatures

Quantitative Tissue Profiles

Combine cellular, morphological, and spatial features to characterize tissue organization and distinguish patterns across samples.

Dermatology & Oncology

Disease-Associated Patterns

Investigate immune organization, tissue remodeling, tumor architecture, and cellular interactions in their spatial context.

Translational Research

Treatment & Cohort Comparisons

Examine how quantitative tissue features vary between experimental conditions, treatment groups, or clinical response categories.

Flexible Deployment and Analysis Services

Use Summit AI™ within your research environment or work with Alpenglow's scientific team for managed analysis.

Software Deployment

Deploy Summit AI™ locally or in the cloud, with configurations adapted to your infrastructure and research requirements.

  • Integrated workflows
  • Reusable models
  • Internal analysis

Managed Analysis Services

Alpenglow's scientific team performs the analysis and delivers quantitative measurements, visualizations, and scientific reports.

  • Project-specific analysis
  • Scientific support
  • Results and reports

Frequently Asked Questions

Common questions about Summit AI™, supported data, analytical capabilities, and deployment.

What is Summit AI™?

Summit AI™ is Alpenglow Biosciences' AI-powered multimodal tissue analysis platform. It automates segmentation, cell phenotyping, and spatial quantification, and supports natural-language investigation of biological data.

What types of data can Summit AI™ analyze?

Summit AI™ supports workflows using 3D tissue images, digital pathology, spatial transcriptomics and proteomics, and associated study metadata. Specific compatibility depends on the data and analytical objectives.

Do I need an Alpenglow 3Di microscope to use Summit AI™?

No. Summit AI™ can be used with suitable tissue imaging and spatial biology datasets generated independently of Alpenglow's 3Di system.

Can Summit AI™ compare results across samples and treatment groups?

Yes. Quantitative measurements can be organized and compared across samples, tissue regions, treatment groups, timepoints, and response categories.

How does agentic AI work in Summit AI™?

Researchers can ask biological questions in natural language. Summit AI™ uses these questions to guide analytical workflows and generate quantitative results that can be explored and refined.

Can I use Summit AI™ without an internal image-analysis team?

Yes. Alpenglow offers managed analysis services in which its scientific team performs the analysis and delivers quantitative measurements, visualizations, and reports.

Is Summit AI™ available for local or cloud deployment?

Local, cloud-based, and project-specific deployment configurations can be discussed according to infrastructure, data-security requirements, and research objectives.

Ready to Explore What Summit AI™ Can Reveal?

Discuss your research questions, tissue datasets, and analytical goals with our team. We'll explore how Summit AI™ can support your study, from image analysis to quantitative results.

Request a Demo