Track samples in the context of the work that changes them
Follow samples and batches through workflow execution, state changes, lineage, files, measurements, instrument results, review, and long-term history instead of treating a sample as an isolated row in a registry.
FlaskTrack keeps sample identity connected to the procedures, materials, people, data, and decisions that produced its current state.
Replace spreadsheets, disconnected notebooks, and manual status tracking with structured sample records connected to protocols, workflows, operational events, files, and reviewable operational history.
Track the full sample lifecycle
Samples are connected to protocols, workflow steps, events, files, batches, users, compliance records, procurement requirements, and reporting systems.
Built for traceability and chain of custody
Every sample action becomes part of a permanent operational history. Teams can review what happened, when it happened, who performed the work, and which records support the outcome.
- ✔ Track samples across workflow execution and batch operations
- ✔ Capture step-specific observations, measurements, and files
- ✔ Preserve complete sample event history and audit trails
- ✔ Connect samples to protocols, species, materials, users, and reports
- ✔ Review sample progress across batches and operational dashboards
- ✔ Maintain chain-of-custody style records for operational review
- ✔ Track lineage between workflows, batches, and samples
- ✔ Export sample data through reports, APIs, and analytical systems
More than a laboratory sample spreadsheet
Sample tracking software for operational research laboratories
FlaskTrack gives research teams a structured way to understand where samples are, what happened to them, who performed the work, what data was captured, and which records support the outcome.
A sample record is only useful when the lifecycle is defined
Before selecting software, agree on identity, lineage, custody, state transitions, required evidence, retention, and exception handling.
Identity and lineage
Test how parent-child relationships, batches, splits, merges, transfers, aliases, and external identifiers are represented.
Lifecycle control
Define allowed states, responsible roles, required observations, approvals, holds, disposal, and archival.
Retrieval and export
Reconstruct and export a representative sample with its workflow history, files, events, approvals, and related records.
Track every sample from creation to completion
Whether managing tissue culture, microbiology, mycology, synthetic biology, biotechnology, or research operations, FlaskTrack helps teams maintain visibility, traceability, and accountability across the entire sample lifecycle.