Sample registration
Identify the sample, source, date and operational context needed to interpret it correctly.
Laboratory software guide
What is a LIMS?
A practical explanation of laboratory information management systems, the data they control and the questions laboratories should answer before implementation.
LIMS meaning
A Laboratory Information Management System keeps sample, test, result and reporting information connected.
LIMS stands for Laboratory Information Management System. It is software that organises sample identity and context, applicable tests, specification limits, imported or manually captured results, review status, trends, reports and Certificates of Analysis in one controlled laboratory information structure.
A useful LIMS reduces the need to rebuild context across spreadsheets and disconnected files. It should make it clear what was sampled, which test applied, where the result came from, which limits governed it and what authorised output was produced.
Core LIMS features
What does LIMS software normally manage?
The exact laboratory workflow differs by organisation, but these functions form a useful information-management foundation.
Tests and specifications
Define applicable tests, expected result fields and the low or high limits used for evaluation.
Result intake
Capture values directly or import configured datasets exported by laboratory equipment.
Status evaluation
Distinguish values within the configured specification from results requiring attention.
Trends and summaries
Review single tests, related series and daily information across a selected period.
COA and reporting
Produce authorised Certificates of Analysis, laboratory reports and structured exports.
How a LIMS works
The information follows the laboratory process from sample to authorised output.
A coherent record lets the laboratory understand both the individual result and the wider history around it.
Register
Identify the sample and relevant operational context.
Apply tests
Attach the correct test definitions, fields and specification limits.
Load results
Import configured datasets or capture laboratory values directly.
Evaluate
Compare each value with the rules attached to that test.
Review
Use status, dates and trends to understand the result in context.
Report
Produce authorised reports, exports and Certificates of Analysis.
Instrument and equipment data
A LIMS can reduce repetitive capture when laboratory equipment exports structured results.
Many laboratories receive result files or datasets from instruments and other equipment. A configured import process can map those values into the correct samples, tests and result fields, reducing manual row-by-row entry without removing the need for validation and authorised review.
- Profiles configured around the actual export structure.
- Batch intake rather than repeated individual capture.
- Mapping to the correct laboratory fields.
- Validation before reporting and Certificate of Analysis output.
Manual result entryDirect controlled capture
Appropriate where equipment does not provide a usable export or where individual entry is part of the approved process.
Equipment-data importConfigured batch intake
Appropriate where exported data can be reliably mapped to the laboratory record.
Common requirementValidation before authorised output
Imported data still needs clear source context, review and reporting controls.
LIMS selection checklist
Choose software around the laboratory data and reporting process.
The decisive question is not whether a screen says “sample.” It is whether the system can preserve the laboratory's real sample, test, result and reporting rules.
01
Sample structure
Can the system represent the samples, sources and contextual fields used by the laboratory?
02
Test definitions
Can tests, result fields, units and specification limits be configured accurately?
03
Equipment imports
Can actual exported datasets be mapped, validated and maintained without fragile manual workarounds?
04
Result review
Can users see status, history, trends and related tests without losing source context?
05
COA and reports
Can the system produce the authorised output customers and operational teams require?
06
Implementation support
Who will verify data structures, import profiles, permissions, reports and user adoption?
Accredited laboratory environments
A LIMS supports the laboratory’s controls; the accreditation belongs to the laboratory and its scope.
In a SANAS-accredited or ISO/IEC 17025 laboratory environment, software should preserve the approved sample, method, result, review and reporting process rather than replacing the laboratory’s quality system.
dMS LIMS is in operational use at a client laboratory operating under SANAS accreditation. That experience informs the system’s approach to traceability, equipment-data imports, permissions, review and authorised output.
LIMS FAQ
Common questions about laboratory information management software.
Concise answers for laboratories comparing spreadsheets, manual capture and dedicated LIMS products.
What does LIMS stand for?
LIMS stands for Laboratory Information Management System.
What is the main purpose of a LIMS?
The main purpose is to keep samples, tests, specifications, results, review and reporting connected in a controlled laboratory information structure.
Can a LIMS reduce manual result capture?
Yes. When laboratory instruments or other equipment export structured datasets, configured import profiles can reduce row-by-row recapture.
What is a Certificate of Analysis in a LIMS?
A Certificate of Analysis is formal output produced from authorised sample, test, specification and result information held in the laboratory system.
Is LIMS software itself SANAS accredited?
No. SANAS accreditation applies to the laboratory or other conformity assessment body and the activities in its accredited scope. A LIMS can support controlled laboratory workflows and evidence, but the configured system must be validated and managed by the laboratory.
Is a LIMS only for very large laboratories?
No. The right fit depends on sample volume, test complexity, reporting requirements, instrument data, traceability needs and the cost of maintaining fragmented records.
What should a laboratory check before selecting a LIMS?
Check sample and test structures, instrument-data imports, specification rules, result review, trend reporting, COA output, permissions, deployment, integration and implementation support.
Next step
See how dMS applies LIMS principles to practical laboratory work.
Review the LIMS product or discuss the samples, equipment exports, tests, specifications, reports and Certificates of Analysis your laboratory needs to control.