Cell-Based & Phenotypic Assays

Cell-Based Assays, Outsourced.

Programmable cell-based protocols with high-content imaging — custom endpoint design, multiplexed readouts, and structured data output built for computational analysis.

Custom turnaround
HCI imaging available
Multiplexed endpoints

What you submit. What you get back.

Turnaround
Custom — scoped per project
Turnaround depends on protocol complexity, cell line, and number of conditions. Scoped during initial call. Typically 5–14 business days.
Sample Requirements
Cell line + compound
Customer-supplied or sourced cell lines. Compound in DMSO stock. Protocol design consultation included — no pre-built SOP required.
Output Format
JSON + CSV + images
Quantified per-cell or per-well measurements, automated image analysis outputs, phenotypic feature vectors, and raw image files.

Phenotypic data built for ML pipelines

High-content imaging data is notoriously difficult to handle — proprietary formats, massive file sizes, and inconsistent segmentation. Litmus delivers pre-processed, per-cell feature vectors and aggregated well-level statistics in structured formats that plug directly into phenotypic ML models.

  • Automated cell segmentation and per-cell feature extraction
  • Per-well summary statistics (mean, median, %positive, intensity distributions)
  • Multiplexed fluorescence channel data normalized and background-corrected
  • Phenotypic feature vectors formatted for direct ML model input
  • Raw TIFF images and segmentation masks available for custom analysis
# Cell-based result payload assay: "cell-based" endpoint: "nuclear translocation" wells: [   { id: "B02",     cell_count: 412,     pct_positive: 73.4,     mean_intensity: 2847,     features: [...] },   ... ] images: "s3://..."

Who orders cell-based assays from Litmus

Target Validation & MOA Studies

Confirm that a compound engages the intended cellular target and produces the expected phenotypic response in a relevant cell model.

Phenotypic Drug Screening

Screen compound libraries for desired phenotypic changes — morphology, localization, signaling state — without requiring prior target knowledge.

High-Content Imaging Panels

Measure multiple cellular endpoints simultaneously — viability, nuclear morphology, organelle health, and pathway activation — in a single multiplexed experiment.

Tell us what you need to measure.

Describe your cell model, compound, and the endpoint you care about — we'll design the protocol and scope the run.

Or email us directly. No spam, ever.