QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images From Rodent Brain
QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images from Rodent Brain
Neural Systems Laboratory, University of Oslo
Workflow Description
The QUINT workflow enables the quantification and spatial analysis of labelled features in histological images of rodent brain sections based on reference atlases of the brain. It utilises three open-source software:
- ilastik allows the extraction of labelled features such as cells by segmentation.
- QuickNII generates atlas maps customised to match the proportions and cutting plane of the brain sections.
- Nutil enables image transformations, in addition to quantification and spatial analysis of features by drawing on the output of ilastik and QuickNII.
In combination, the tools facilitate semi-automated quantification, eliminating the need for more time consuming methods such as stereological analysis with manual delineation of brain regions.
Workflow highlights
- The QUINT workflow is semi-automated, combining three open-source software that can be operated without scripting knowledge.
- As the quantifications are performed in regions defined by a reference atlas, the region definitions are standardized, allowing comparisons of data from different laboratories.
References
Yates SC et al. 2019. QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images From Rodent Brain. Front. Neuroinform. 13:75. doi: 10.3389/fninf.2019.00075
www.nitrc.org/projects/quicknii