Drug discovery and screening

Fluorescence imaging workflows for therapeutic screening and phenomic readouts.

We support pharma and biotech R&D teams with disease-relevant cell models, fluorescence labeling, high-content imaging, and quantitative phenomic analysis for target validation, lead evaluation, ADMET profiling, and mechanism-of-action studies.

Discovery support
01 Configure disease-relevant cell models, treatment design, controls, and fluorescence endpoints.
02 Generate high-content imaging data for compound response, target engagement, and phenotypic comparison.
03 Deliver quantified phenomic features, annotated visuals, and structured datasets for candidate decisions.
Drug discovery workflow

Our discovery pipeline is cellular.
From biology to AI-ready insight.

We support drug discovery teams with advanced cell models, fluorescence assays, high-content imaging, and quantitative phenomic data across therapeutic modalities.

High-content Fluorescence Imaging CellCircuit Phenomic Assay Engine human-relevant models · multiplex imaging quantitative phenomics AI-ready Phenomic Datasets images · extracted features · phenotypic annotations spatiotemporal phenotypes AI Training · Assay Refinement · Predictive Biology
Case studies

Phenotypic screening in human cell systems.

CellCircuit uses fluorescence imaging and quantitative phenomics to help drug discovery teams evaluate cellular response, marker expression, and candidate effects in human-relevant models.

Human neural stem cell compound screening fluorescence image panel
Case Study 01 hNSC model

Compound screening in human neural stem cells

Study goal

Assess how treatment conditions influence neural phenotype, maturation state, and marker expression.

Study focus

Human neural stem cell response profiling with image-based comparison across compound conditions.

Workflow

Cell culture, compound treatment, fluorescence labeling, imaging, and quantitative phenomic analysis.

Outputs
Marker expression

Lineage and maturation-associated fluorescence readouts.

Phenotypic response

Image-derived cellular changes following treatment.

Quantitative phenomics

Structured features for compound comparison and interpretation.