Lineage
A mouse colony management platform for the records and decisions that run a colony: cages and animals, breeding, genotyping, daily work, and a traceable history.
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Boston, MA Charlottesville, VA
What we buildSoftware built around the work of research.
Research depends on methods, records, and decisions that are specific to each lab. We work with researchers to turn that knowledge into tools their teams can use — from colony operations and image analysis to participant recruitment and data pipelines.
Colony operations
Lineage
Colony records, breeding, genotyping, and daily work in a shared, traceable workspace.
Histology image analysis
QuPath imaging pipelines
Reproducible MOVAT/PSR histology scoring in hours, not a postdoc's full day.
Study recruitment & registry
CuraOS
Connect researchers with potential participants through study discovery, intake, and eligibility matching.
Data pipelines & statistics
Research data pipelines
Clean, model and report experimental data — reproducibly, not in a folder called FINAL_v3.
What this looks like in practice
What this looks like in practice
Before
A postdoc reviewing MOVAT-stained aortic sections by hand. Eight to ten hours per batch, with counts that drift between sessions.
After
A documented QuPath pipeline processing 600–700 sections in four to five hours, with reproducible morphometry anyone in the lab can re-run. Roughly half the time per experiment, and a result that holds up six months later.
Batch size
600–700
section images processed
Automated time
4–5 hrs
processing and review
Manual baseline
8–10 hrs
previous manual review
For research labs losing weeks to manual analysis
The problem
- Your postdoc spends three weeks on histology quantification that should take an afternoon.
- Your experimental data lives across six spreadsheets and a folder called FINAL_v3.
- You pay $20–40k a year for imaging software your lab uses at a fraction of its capacity.
Built with the people who know the research.
You bring the methods, the operating constraints, and the judgment behind the work. We bring software engineering and quantitative analysis. Together, we define the workflow, build the tool, validate it against your lab's baseline, and refine it with the people who use it. Documentation and training make it a system your team can own and run.
Services
Imaging Pipelines
Validated image-analysis workflows for microscopy and histology, from measurement and quality control through batch export and review. QuPath may be part of the workflow, not the boundary.
CuraOS
A study recruitment and participant registry platform connecting researchers with people who may qualify for their studies. CuraOS brings study discovery, participant intake, and eligibility matching into one workflow, helping research teams reach relevant communities and coordinate recruitment.
Research data pipelines
R and Python workflows that clean, join, QC, and model your experimental data — logistic regression, count, survival, and mixed-effects models — producing reproducible tables and figures instead of a folder called FINAL_v3.
Why Laminar
Why Laminar
Bench background
Cardiovascular biology at UVA's Sonkusare Lab. We have done the manual analysis we automate.
Quantitative training
Neuroscience and Statistics at UVA. R and Python daily. We know if the model is right, not just if the code runs.
We ship tools non-developers use
MOVAT/PSR histology, colony databases, vascular stats — already deployed and run day-to-day by lab members, not engineers.
Bring the workflow you know best. Let's design the tools around it.
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Prefer async? Send your project
Start with a conversation about your methods, your team, and the decisions your tools need to support.