For Drosophila research labs
Automated scoring for fly phenotype assays
Upload footage from a climbing assay or a phenotype photograph, and get counted, scored results ready for review and export.
See it in action ↓Prototyped around assays used in the neurodegeneration and cancer research programs at the Drosophila Research & Training Center, Ibadan.
Worked example
See how a batch gets scored
A climbing-assay batch, detected and scored end to end. The data shown is illustrative — running it on your own footage is part of the pilot.
How scoring works
Two systems, two different jobs
Detection
Frame-differencing and blob tracking locate and follow each fly across the video. This stage is deterministic: the same footage produces the same count on every run.
Scoring
A vision model evaluates phenotype severity — eye roughness, disc size, wing shape — against reference grades calibrated to the assay.
Review
Low-confidence results are flagged with a reason, such as occlusion or an ambiguous frame, and held for a quick manual check before export.
Built for two of DRTC’s core assays
Coverage for the phenotypes most published fly work already depends on.
Climbing assays
Negative-geotaxis tracking from a handheld phone video, no rig required.
Eye phenotype scoring
Roughness and ommatidial disorganization, graded against reference severity.
Wing and disc scoring
Size and shape measurements taken directly from dissection photographs.
Export formats
CSV output alongside a caption drafted in standard methods-section phrasing.
Built for two moments
Who this is for
Score a full batch in roughly the time it takes to count three flies by hand. Low-confidence results are flagged before they reach your spreadsheet.
- Phone-video input — no equipment purchase required
- A confidence score on every individual result
- Flagged rows held for manual review before export
Median time to score one batch
Flies scored per batch
Average detection confidence
Flagged for manual review
Figures reflect the illustrative example on this page, not measured results from a live pilot.
Join the waitlist for early access
We’ll reach out when the pilot is ready to run on your own footage.
Prefer email? Reach out directly at ayanabrand@gmail.com