From bench capture to connected lab data
Every sample, every step, accounted for.
LabTrace helps experimental biology labs digitalize sample preparation, processing, and execution workflows with structured annotation captured at the bench. Recording what happened, when, how, and under which conditions strengthens reproducibility and captures laboratory activities as structured, machine-readable records for downstream processing and analysis — FAIR-aligned from the start.
From there the same records travel further: validated protocols can be shared with sister labs or published as open science, completed runs are delivered straight to ELN, LIMS, or your downstream data pipelines, and every result keeps an immutable, audit-ready trail.
Scan at the bench
Identify samples and workflow steps with glove-friendly QR scanning.
Capture structured context
Record who, what, when, how, and under which conditions at every step.
Print traceable labels
Generate short codes and print label sheets straight from the browser.
Keep lab data isolated
Role-based access and lab-level separation keep runs and samples under local control.
Connect your lab ecosystem
Use the documented REST API, JSON and XML schemas, and signed webhooks.
Preserve provenance
Immutable event history, document hashes, and measurement provenance create audit-ready records.
Research networks & consortia
Standardize protocols without centralizing lab data
Sister labs can share validated methods while keeping their runs and samples independently controlled.
Organize sister labs
Group independent labs within an organization while preserving each lab's own access boundary.
Share with the right audience
Publish workflows to your organization only or to the public open-science catalogue.
Adapt locally, preserve provenance
Copied workflows become independent drafts while source identity and version history remain traceable.