Know the full history of every sample
See where a sample came from, which steps changed it, which materials were used, and what results followed—all in the context of its batch and workflow.
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.
Follow a sample, not a spreadsheet row
Open a sample to see its lineage, step completions, observations, attachments, instrument results, and review history in one place.
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.