Hide last authors
| author | version | line-number | content |
|---|---|---|---|
 |
6.1 | 1 | |
| 2 | |||
| |
1.1 | 3 | (% class="jumbotron" %) |
| 4 | ((( | ||
| 5 | (% class="container" %) | ||
| 6 | ((( | ||
| |
9.1 | 7 | == (% style="color:#16a085" %)**QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images from Rodent Brain**(%%) == |
| 8 | |||
| 9 | (% style="color:#999999" %)Neural Systems Laboratory, University of Oslo | ||
| |
1.1 | 10 | ))) |
| 11 | ))) | ||
| 12 | |||
| |
9.1 | 13 | ==== ==== |
| |
7.1 | 14 | |
| |
8.1 | 15 | |
| |
9.1 | 16 | ==== (% style="color:#c0392b" %)Workflow Description(%%) ==== |
| |
1.1 | 17 | |
| |
9.1 | 18 | 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: |
| |
1.1 | 19 | |
| |
9.1 | 20 | 1. ilastik allows the extraction of labelled features such as cells by segmentation. |
| 21 | 1. QuickNII generates atlas maps customised to match the proportions and cutting plane of the brain sections. | ||
| 22 | 1. Nutil enables quantification and spatial analysis of features by drawing on the output of ilastik and QuickNII. | ||
| |
1.1 | 23 | |
| |
9.1 | 24 | 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. |
| 25 | |||
| 26 |