Uniquely identify
Animal identification, name and, if applicable, transponder data support the assignment.
Animal Management
One animal.
Its data.
The full context.
Identity, origin, husbandry and subject classification come together in the animal data set. Diary, lineage and other events are linked to this.
Animal DEMO-T01
Function example- Animal identification
- DEMO-T01
- Animal species
- Mouse
- Gender
- female
- Date of birth
- 15.03.2026
Explained in the exampleUniquely assign a data record.
The unique assignment occurs before every processing.
Function example with synthetic data
Related information directly on the animal.
connections preserved
Birth, parents, strain, line, cage and approval remain in the technical context.
Document your life path
Arrival, status and whereabouts complete the current view of the animal.
surface example
A look into the work area.
Animal identification leads to husbandry, origin, approval and documentation.
From the found animal to the correct process.
Animal management is the entry point for many daily tasks. A clear identity reduces the risk of processing information on the wrong animal.
- 01
Search and select
Search for existing entries before creating or editing.
- 02
Check basic data
Classify identifier, species, gender and dates.
- 03
Assign relationships
Connect cage, lineage and technical project context.
- 04
Complete the history
Continue documentation and associated specialist procedures on the animal.
functions in daily use.
A central animal data set connects identity, origin, husbandry, approval and life path. From here you can access the associated documentation.
How are animals identified?
Animal identification, name and, if necessary, transponder data help to clearly find the appropriate data record. The labeling used depends on the animal species and facility.
What information converges on the animal?
Birth, parents, strain, line, cage, approval and status are in the common animal context. Diary and ancestry view open up further connections.
Example representation with synthetic data. Design and functionality are configurable and may vary depending on the facility.
Let’s discuss
your workflows.
Together we will clarify what scope suits your facility and what the introduction can look like.
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