Show last authors
| author | version | line-number | content |
|---|---|---|---|
| 1 | (% class="jumbotron" %) | ||
| 2 | ((( | ||
| 3 | (% class="container" %) | ||
| 4 | ((( | ||
| 5 | == (% style="color:#16a085" %)**QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images from Rodent Brain**(%%) == | ||
| 6 | |||
| 7 | (% style="color:#999999" %)Neural Systems Laboratory, University of Oslo | ||
| 8 | ))) | ||
| 9 | ))) | ||
| 10 | |||
| 11 | ==== ==== | ||
| 12 | |||
| 13 | |||
| 14 | ==== (% style="color:#c0392b" %)**Workflow Description**(%%) ==== | ||
| 15 | |||
| 16 | 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: | ||
| 17 | |||
| 18 | 1. (% style="color:#2980b9" %)//ilastik//(%%) allows the extraction of labelled features such as cells by segmentation. | ||
| 19 | 1. (% style="color:#2980b9" %)//QuickNII//(%%) generates atlas maps customised to match the proportions and cutting plane of the brain sections. | ||
| 20 | 1. (% style="color:#2980b9" %)//Nutil//(%%) enables image transformations, in addition to quantification and spatial analysis of features by drawing on the output of ilastik and QuickNII. | ||
| 21 | |||
| 22 | 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. | ||
| 23 | |||
| 24 |