QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images From Rodent Brain
Online documentation
QUINT workflow user documentation
Description
The QUINT workflow enables an atlas-based analysis of extracted features from histological image sections from the rodent brain by using 3D reference atlases.
Examples of use are cell counting and spatial distributions, determination of projection areas in connectivity experiments, and exploration of pathological hallmarks in brain-disease models. Integration of various data to the same reference space enables new exploration strategies and reuse of experimental data.
The workflow is built on the following open-access software.
- ilastik allows the extraction of labelled features such as cells, by using machine-learning image segmentation.
- QuickNII generates custom-angle slices from volumetric brain atlases to match the proportions and cutting plane of histological sections.
- VisuAlign is then used for non-linear alignment of the reference-atlas slice to the section image.
- 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.
QUINT workflow video
Workflow highlights
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
- Groeneboom NE, Yates SC, Puchades MA and Bjaalie JG (2020) Nutil: A Pre- and Post-processing Toolbox for Histological Rodent Brain Section Images. Front. Neuroinform. 14:37. doi: 10.3389/fninf.2020.00037
- Berg S, Kutra D, Kroeger T, et al. & Kreshuk A (2019) ilastik: interactive machine learning for (bio)image analysis. Nat Methods. 16:1226-1232. doi: 10.1038/s41592-019-0582-9
Puchades MA et al. (2019) Spatial registration of serial microscopic brain images to three-dimensional reference atlases with the QuickNII tool. PlosOne. 14(5): e0216796. doi: 10.1371/journal.pone.0216796