In any scientific or clinical lab, proper labeling ensures that samples can be identified, located, and analyzed without ambiguity. Sample labeling typically involves attaching barcodes, QR codes, or alphanumeric tags to physical containers, such as tubes, vials, or plates, paired with metadata stored in a digital system.
Every sample, whether a tube, vial, well, plate, or tissue section, must be uniquely and unambiguously identified. Sample labeling combines physical identification (barcode, QR code, or printed label) with digital metadata stored in a LIMS, ELN, or sample-management system.
A complete sample label typically connects the sample to:
As highlighted in Cenevo’s Essential Guide to Managing Laboratory Samples, clear labeling is vital for preventing errors and ensuring that samples remain valuable, traceable assets throughout their lifecycle.
Modern laboratories rely on labeling methods that go beyond handwriting:
Systems integrated with ELN/LIMS or sample-management tools generate labels that are consistent and capture the correct metadata every time.
Machine-readable labels eliminate ambiguity and make it possible to retrieve complete sample information instantly through a scan. Barcoding is a key step in eliminating misidentification and standardizing sample handling across teams.
Templates ensure consistency across container types, projects, and research groups, reducing manual entry and confusion.
Reliable systems ensure no identifier is ever reused or duplicated.
Labels must survive freezing, thawing, incubators, solvents, and long-term storage.
Once applied, the label serves as the sample’s digital fingerprint, used to track its exact position in storage (down to shelf–rack–box–X-Y coordinates), monitor its usage, and record its complete history from creation to disposal.
Accurate labeling is essential because it:
Poor or inconsistent labeling is one of the leading causes of wasted storage space, redundant materials, and untraceable samples, issues that compound over time and hinder scientific productivity.
Cenevo unifies sample-centric and experiment-centric workflows through two complementary products: Mosaic and Labguru. Together, they create a connected labeling ecosystem that ensures every sample is uniquely identified, fully traceable, and ready for automation.
Mosaic, Cenevo’s sample-management platform, provides a labeling and tracking framework for high-throughput labs, biobanks, and automated environments.
Key labeling capabilities include:
Mosaic’s barcode-driven workflows are aligned with the best practices outlined in the Essential Guide, including barcoding, freezer mapping, defragmentation, and preventing sample redundancy.
Labguru, Cenevo’s cloud-based ELN/LIMS and inventory platform, connects labeling to experimental documentation and day-to-day research operations.
Labguru supports:
Labguru ensures that labeling is seamlessly tied to experiment planning, data capture, and compliance documentation.
Cenevo brings together:
The result: every label becomes part of a rich, structured data ecosystem, traceable, searchable, compliant, and ready to support next-generation digital lab operations.
Accurate labeling is the starting point of reliable science. Mosaic and Labguru ensure that every identifier is correct, every movement is tracked, and every sample is a trusted, traceable asset.
Book a demo to learn how Mosaic and Labguru can transform your sample labeling workflows.