Bring virtual staining into your research workflows

Virtual staining enhances tissue analysis workflows across research and preclinical studies, preserving samples, accelerating analysis, and enabling integration with molecular, spatial, and computational data.

For research use only. Not for use in diagnostic procedures.

How it works

How virtual staining enhances research workflows

Virtual staining integrates into existing tissue analysis workflows, enhancing each step from imaging to downstream analysis without consuming additional tissue.

01
Preserve valuable samples

Generate virtual stain images without chemical processing, keeping tissue intact for downstream molecular and multi-modal workflows.

02
Accelerate workflow timelines

Replace time-intensive staining protocols with rapid digital generation, reducing turnaround from days to minutes.

03
Standardize image quality

Produce consistent, artifact-free images independent of staining variability, ensuring reproducible results across studies and over time without batch-to-batch variation.

04
Enable multi-modal analysis

Integrate morphology with molecular, spatial, and computational data to support advanced tissue analysis and multi-modal workflows.

05
Enable reanalysis and flexibility

Apply multiple virtual stains to the same sample or revisit archived data without additional tissue processing.

Workflow integration

Where virtual staining fits in your workflow

Virtual staining is applied after image acquisition, generating virtual stain images without altering the tissue and supporting downstream analysis.

Select a step above to see details

Applications

Applications across tissue analysis workflows

Virtual staining supports diverse tissue analysis workflows, from foundational histology research to advanced spatial and multi-modal applications.

01
Histopathology Research & Digital Review
Accelerate tissue morphology assessment and enable consistent digital review across histopathology research workflows.
  • Tissue screening and morphology assessment
  • Digital pathology review and collaboration
  • AI-enabled image analysis and segmentation
See how this works in histopathology workflows →
02
Molecular Dissection & ROI Selection
Enable precise region-of-interest identification while preserving RNA/DNA integrity for downstream molecular analysis workflows.
  • Tumor or region-of-interest identification
  • Macrodissection and microdissection guidance
  • Preparation for sequencing and multi-omics workflows
See how this works in molecular dissection →
03
Spatial Biology & Biomarker Discovery
Add morphological context to spatial and multiplex assays to support biomarker discovery and multi-modal data integration.
  • Spatial transcriptomics and profiling
  • Multiplex imaging (IF/IHC) interpretation
  • Biomarker discovery and validation
See how this works in spatial biology →
04
Toxicology & Drug Development
Improve throughput, reproducibility, and data integration across preclinical toxicology and drug development workflows.
  • Preclinical safety assessment
  • Target organ and tissue response analysis
  • Pharmacodynamic and efficacy studies
See how this works in toxicology studies →
05
Biobanking & Retrospective Analysis
Unlock additional value from archived and limited samples through non-destructive digital staining and reanalysis workflows.
  • Retrospective analysis of archived samples
  • Cohort expansion using existing tissue and slides
  • Application of new markers or analysis methods to historical data
  • Data harmonization across studies, sites, and timepoints
  • Reanalysis of existing datasets without additional tissue processing
See how this works in your research →
06
Veterinary Research & Comparative Pathology
Support veterinary and comparative research workflows with consistent digital histology and cross-species analysis capabilities.
  • Companion animal and preclinical tissue analysis
  • Comparative pathology across species and disease models
  • Cross-species biomarker exploration and validation
  • Digital pathology review and collaboration across sites
  • Training and standardization of histological interpretation
See how this works in comparative research →
Capabilities

What virtual staining enables

Virtual staining enhances tissue analysis workflows by improving sample preservation, accelerating timelines, and enabling deeper integration across data types.

01
Analyze tissue without consuming valuable samples

Generate virtual stain images without chemical processing, preserving tissue for downstream molecular, spatial, and multi-modal workflows.

02
Accelerate study timelines and reduce bottlenecks

Replace time-intensive staining steps with rapid digital generation, enabling faster iteration across experiments and workflows.

03
Standardize image quality across studies and sites

Eliminate variability with manual staining to produce consistent, reproducible outputs for analysis, collaboration, and AI workflows.

04
Integrate morphology with molecular and spatial data

Combine virtual histology with sequencing, spatial transcriptomics, and multiplex imaging to enable comprehensive, multi-modal analysis.

05
Reanalyze data without additional tissue processing

Apply multiple virtual stains or revisit archived datasets, unlocking new insights without requiring new samples or reprocessing.