Laboratories museum
The laboratories support the museum’s scientific and professional work through sample processing, analysis, and documentation of results.
This page presents the laboratory units and methods used in work with natural history material.
Museum Laboratory Work
An overview of laboratory units, methods, and equipment related to the museum’s scientific and professional activities.
Laboratory Infrastructure
The laboratories support the museum’s scientific, professional, and documentation work through analyses, material processing, and preparation of research data.
Laboratory work enables more detailed analysis of materials, connects field data with museum collections, and applies modern methods in professional and scientific research.
Electron Microscopy
This section is intended to present the electron microscopy laboratory, imaging methods, and applications in the analysis of natural history materials.
Electron microscopy provides detailed insight into structures that are not visible through standard optical methods and can be used in the analysis of various natural history samples.
- microscopic analysis of samples
- documentation of detailed structures
- support for professional and scientific research
Molecular Laboratory
This section is intended to present the molecular laboratory, sample processing, and the methods used in molecular research.
The molecular laboratory supports research in which biological samples are processed using modern laboratory methods and connected with taxonomic, ecological, and collection-related data.
- preparation and processing of biological samples
- molecular methods in research
- linking results with museum documentation
Analytical Instrumentation
This section is intended to present analytical equipment, measurements, and methods that support the analysis of natural history materials.
Analytical instrumentation enables additional processing and interpretation of samples, with an emphasis on data that contribute to research, documentation, and the preservation of collections.
- sample analysis and measurement
- processing results and documenting data
- support for interdisciplinary research