AI-automated cell identification, counting, and analysis for cell and cancer research labs. A workflow that took roughly three to four days manually compresses to same-day turnaround — without changing how the lab prepares or images its samples.
The accuracy you couldn't achieve manually, at same-day turnaround.
FluorocellAI slots into the workflow your lab already runs — slide prep and imaging stay unchanged. What used
to be one to two days of manual counting and annotation, plus a further day each of manual QC and reporting,
becomes minutes of automated segmentation and counting with an automatic QC and audit trail behind it. Manual
counts also drift — between technicians, and within the same technician across a long session — which is
exactly what a reviewer questions first; automated segmentation returns the same count on the same slide
every time.
We build it on our proprietary machine learning models, and working cell biologists validate it — we don't
ship it generic and adapt it after the fact. Every deployment adds annotated microscopy data back into our
proprietary dataset, compounding accuracy over time.
Analysis Pipeline
01
Slide Prep & Imaging
Unchanged — FluorocellAI works with your existing imaging setup
02
Automated Segmentation
Cell identification and counting, in minutes rather than days
03
Automated QC
Audit trail generated automatically behind every result
04
Reporting
Same-day write-up, ready for downstream analysis
“A workflow that took roughly three to four days manually compresses to same-day turnaround — without changing how the lab prepares or images its samples.”
Cancer-research lab — FluorocellAI pilot customer
Capabilities
Built for every fluorescence microscopy workflow.
Automated segmentation & counting
Cell identification and counting that took one to two days manually now runs in minutes, matching expert-level annotation.
Automatic QC & audit trail
Every result carries an automatic QC pass and a built-in audit trail — no separate manual re-count step required.
Same-day reporting
Write-up and reporting generate automatically, ready for downstream analysis the same day imaging completes.
Unchanged slide prep
FluorocellAI works with your existing imaging setup — slide prep and imaging are not disrupted by adoption.
Compounding proprietary data
Every deployment adds annotated microscopy data back into our proprietary dataset, a compounding advantage a generic tool cannot replicate.
Validated by working scientists
We build it in close collaboration with cancer-research labs and academic cell-biology cores, instead of shipping it generic and adapting it after the fact.
Use Cases
Who uses FluorocellAI.
Cancer-Research Institutes
Compress cell-analysis turnaround from days to a same-day first pass, without changing established imaging protocols.
Academic Cell-Biology Cores
Offer AI-assisted counting and analysis as a core facility service, integrated into existing lab workflows.
CROs & Pharma/Biotech R&D
Scale cell-analysis throughput across client programs without proportionally scaling headcount.
Regulatory Affairs Teams
Rely on automatic QC and a built-in audit trail for cell-analysis data that supports regulatory submissions.
Begin your FluorocellAI evaluation.
We tailor every evaluation to your imaging modality, cell type, and existing pipeline. Our scientific team guides the process from installation to your first publication-quality output.
Working in a different domain entirely? We build domain-native software systems well beyond imaging — reach out to discuss a custom system.
