Cell culture field for confluence and cell assay image analysis
ConductVision Life Science / Cell assays

Cell assay image analysis for counting, confluence, viability, and colonies.

Quantify routine cell biology images without changing the assay your lab already runs.

What this page covers

Use this page when the sample is a cell culture, plate, colony assay, or dose-response experiment. ConductVision connects the assay to reviewable overlays, locked batch settings, and exportable measurements.

Talk through your images

Bring one representative plate or field, the stain or imaging mode, and the result you report. We will map it to an existing workflow or scope the custom analysis.

Request a meeting

Measurements

  • Cell count
  • Object density
  • Confluence percent
  • Viability percent
  • Colony count
  • CFU/mL

Review outputs

  • Annotated overlays
  • Per-image tables
  • Plate summaries
  • Batch comparison exports

Image inputs, QC, and outputs

Use this section to decide whether the page matches your assay before requesting a meeting. The goal is to preserve the biological endpoint while making the image analysis repeatable, reviewable, and exportable.

Image inputs

Cell assays analysis starts with representative images that match the endpoint your lab reports. Include controls and edge cases so thresholds can be set against real biological variation, not only ideal fields.

  • Primary measurements: Cell count, Object density, Confluence percent, and Viability percent
  • Matched positive and negative controls when available
  • Consistent magnification, channel order, plate layout, or time-point labels

QC and validation

Each workflow should leave a visible trail from raw image to measurement. Review masks, thresholds, and flagged fields before exporting the final table.

  • Raw image and overlay review before batch export
  • Locked settings for repeated plates, stains, or time points
  • QC flags for dim signal, merged objects, uneven background, or failed segmentation

Outputs for analysis

ConductVision should return both visual evidence and structured data so the result can be checked, summarized, and reused in downstream statistics.

  • Typical outputs: Annotated overlays, Per-image tables, Plate summaries, and Batch comparison exports
  • Per-image, per-cell, per-object, or per-well tables where relevant
  • CSV exports for Prism, Excel, R, Python, or LIMS handoff

Frequently asked questions

These answers cover the practical questions labs usually ask before sending example images or requesting a ConductVision workflow review.

What images work best for cell assays analysis?

Use representative images from the same microscope, scanner, plate reader, or camera setup used in the study. The most useful examples include controls, typical fields, difficult fields, and any cases that affect Cell count, Object density, Confluence percent, and Viability percent.

Can ConductVision handle custom cell assays endpoints?

Bring one representative plate or field, the stain or imaging mode, and the result you report. We will map it to an existing workflow or scope the custom analysis. ConductScience can confirm whether an existing workflow fits or define custom segmentation, thresholding, review, and export rules for the assay.

What results are usually exported from this workflow?

The expected deliverables include Annotated overlays, Per-image tables, and Plate summaries, plus structured tables for downstream analysis. The page also lists the specific measurements and review outputs that are most relevant to this application.

Find out if ConductVision fits your cell assays workflow

Send representative images, assay details, and the measurement endpoint. ConductScience can confirm the closest existing workflow or scope a custom analysis path.