Show last authors
author | version | line-number | content |
---|---|---|---|
1 | |||
2 | |||
3 | (% class="jumbotron" %) | ||
4 | ((( | ||
5 | (% class="container" %) | ||
6 | ((( | ||
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 | ||
10 | ))) | ||
11 | ))) | ||
12 | |||
13 | ==== ==== | ||
14 | |||
15 | |||
16 | ==== (% style="color:#c0392b" %)Workflow Description(%%) ==== | ||
17 | |||
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: | ||
19 | |||
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. | ||
23 | |||
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 |