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Last modified by puchades on 2022/11/02 10:16

From version 8.1
edited by sharoncy
on 2020/03/09 13:53
Change comment: There is no comment for this version
To version 15.1
edited by sharoncy
on 2020/03/09 14:07
Change comment: There is no comment for this version

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7 -== QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images from Rodent Brain ==
5 +== (% style="color:#16a085" %)**QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images from Rodent Brain**(%%) ==
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7 +(% style="color:#999999" %)Neural Systems Laboratory, University of Oslo
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11 +==== ====
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14 +==== (% style="color:#c0392b" %)**Workflow Description**(%%) ====
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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:
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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.
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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.
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25 +==== (% style="color:#c0392b" %)**Workflow highlights**(%%) ====
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27 +* The QUINT workflow is semi-automated, combining three open-source software that can be operated without scripting knowledge.
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30 +As the quantifications are performed in regions defined by a reference atlas, the region definitions are standardized, allowing comparisons of data from different laboratories.
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19 -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. The first – ilastik - allows the extraction of labelled features such as cells by segmentation. The second – QuickNII - generates atlas maps customised to match the proportions and cutting plane of the brain sections. The third – Nutil – enables 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.
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21 -= What can I find here? =
33 +==== (% style="color:#c0392b" %)**References**(%%) ====
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35 +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
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27 -= Who has access? =
37 +[[https>>url:https://www.nitrc.org/projects/nutil/]][[:~~/~~/www.nitrc.org/projects/nutil>>url:https://www.nitrc.org/projects/nutil/]][[/>>url:https://www.nitrc.org/projects/nutil/]]
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29 -Describe the audience of this collab.
39 +[[https:~~/~~/>>url:https://www.nitrc.org/projects/quicknii]][[www.nitrc.org/projects/quicknii>>url:https://www.nitrc.org/projects/quicknii]]
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41 +[[https:~~/~~/www.ilastik.org>>url:https://www.ilastik.org/]][[/>>url:https://www.ilastik.org/]]
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