Skip to content

What changed for one small research lab.

A before-and-after look at FluorocellAI in production.

FluorocellAI Case Study

FluorocellAI, in a cancer-research lab.

A cancer-research lab's cell-analysis workflow, before and after FluorocellAI. FluorocellAI compresses manual review of cells from a week of manual cross-referencing to a same-day first pass.

FluorocellAI segmentation output: fluorescent cell nuclei, each outlined by an automatically detected boundary
Imaging & Cell Analysis Currently offering

FluorocellAI

FluorocellAI automates cell identification, counting, and analysis for cell and cancer research labs — the same visual-detection discipline our platform applies wherever manual, error-prone inspection is the bottleneck.

A cell-analysis workflow that once took three to four days of manual cross-referencing — slide prep, manual counting, manual QC, and write-up — compresses to a same-day first pass. Slide prep and imaging stay unchanged; automated segmentation and counting run in minutes instead of days, with automatic QC and an audit trail behind every result.

  • Automated segmentation & counting, in minutes
  • Automatic QC / built-in audit trail
  • Same-day reporting, unchanged slide prep
  • Validated by working cell biologists
  • Fine-tuned models on proprietary annotated data
  • REST API for lab pipeline integration

Before

  • Manual counting: 1–2 days
  • Manual QC / re-count: ~1 day
  • Reporting: ~1 day

With FluorocellAI

  • Automated counting: minutes
  • QC / audit trail: automatic
  • Reporting: same day

Want to see this on your own data?

Request a Demonstration and we'll walk through FluorocellAI or ComplianceCall using your own workflow as the basis.

Working outside imaging or compliance? We build domain-native software systems for many industries — reach out to discuss a custom system.