Plate-based fluorescence images for high-content image analysis
ConductVision Life Science / High-content screening

High-content image analysis for plate-based biological screening.

Scale image analysis from single fields to multi-well biological screens.

What this page covers

Use this page when your team needs consistent measurements across plates, treatments, time points, or phenotypic conditions.

Talk through your images

Bring the plate format, imaging channels, treatment structure, and the measurements you want compared across wells.

Request a meeting

Measurements

  • Per-well count
  • Confluence
  • Viability
  • Marker intensity
  • Phenotype class
  • Dose-response summary

Review outputs

  • Plate maps
  • Batch overlays
  • Well-level tables
  • Treatment comparisons

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

High-content screening 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: Per-well count, Confluence, Viability, and Marker intensity
  • 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: Plate maps, Batch overlays, Well-level tables, and Treatment comparisons
  • 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 high-content screening 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 Per-well count, Confluence, Viability, and Marker intensity.

Can ConductVision handle custom high-content screening endpoints?

Bring the plate format, imaging channels, treatment structure, and the measurements you want compared across wells. 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 Plate maps, Batch overlays, and Well-level tables, 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 high-content screening workflow

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