Changes for page QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images From Rodent Brain
Last modified by puchades on 2022/11/02 10:16
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... ... @@ -1,69 +1,31 @@ 1 -(% class="box infomessage" %) 2 -((( 3 -Online documentation: - [[https:~~/~~/quicknii.readthedocs.io/en/latest/index.html>>https://quicknii.readthedocs.io/en/latest/index.html]] [[-https:~~/~~/visualign.readthedocs.io/en/latest/index.html#>>https://visualign.readthedocs.io/en/latest/index.html#]][[ -https:~~/~~/nutil.readthedocs.io/en/latest/index.html>>https://nutil.readthedocs.io/en/latest/index.html]] 4 -))) 1 + 5 5 6 -Please, address your questions about our tools and workflows to [[https:~~/~~/ebrains.eu/support/>>https://ebrains.eu/support/]]. 7 - 8 -[[image:User_support_Ebrains.png]] 9 - 10 - 11 -[[image:QUINT_workflow_Plaques.png||style="float:left"]] 12 - 13 -== (% style="color:#c0392b" %)**Description**(%%) == 14 - 15 -**The QUINT workflow enables an atlas-based analysis of extracted features from histological image sections from the rodent brain by using 3D reference atlases. ** 16 - 17 -**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.** 18 - 19 -The workflow is built on the following open-access software. 20 - 21 -* [[(% style="color:#2980b9" %)//ilastik//>>doc:.3\. Image segmentation with ilastik.WebHome]](%%) allows the extraction of labelled features such as cells, by using machine-learning image segmentation. 22 -* [[(% style="color:#2980b9" %)//QuickNII//>>doc:.Image registration to reference atlas using QuickNII.WebHome]](%%) generates custom-angle slices from volumetric brain atlases to match the proportions and cutting plane of histological sections. 23 -* //[[(% style="color:#3498db" %)VisuAlign>>doc:.Image registration to reference atlas using QuickNII.WebHome]]//(%%) is then used for non-linear alignment of the reference-atlas slice to the section image. 24 -* (% style="color:#2980b9" %)//Nutil//(%%) enables image [[transformations>>doc:.1\. Preparing the images.WebHome]], in addition to [[quantification and spatial analysis>>doc:.4\. Quantification and spatial analysis with Nutil.WebHome]] of features by drawing on the output of //ilastik// and //QuickNII//. 25 - 26 -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. 27 - 28 -[[[[image:Youtube_QUINT.PNG||height="282" style="float:left" width="500"]]>>https://www.youtube.com/watch?v=8oeg3qTzLnE]] 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - 38 - 39 - 40 - 41 - 42 - 43 - 44 -QUINT workflow video 45 - 46 -== (% style="color:#c0392b" %)**Workflow highlights**(%%) == 47 - 48 -(% class="box successmessage" %) 3 +(% class="jumbotron" %) 49 49 ((( 50 -The semi-automated QUINT workflow uses open-access software that can be operated without any scripting knowledge. 5 +(% class="container" %) 6 +((( 7 +== QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images from Rodent Brain == 51 51 ))) 9 +))) 52 52 11 +(% class="row" %) 53 53 ((( 54 -(% class=" boxuccessmessage" %)13 +(% class="col-xs-12 col-sm-8" %) 55 55 ((( 56 - Becausethe quantificationsare performedin regions defined by areferenceatlas, theregiondefinitions are standardised,allowing comparisons of data from different laboratories.57 - )))15 +(% class="wikigeneratedid" %) 16 + 58 58 59 -==== (% style="color:#c0392b" %)**References**(%%) ==== 18 +(% class="wikigeneratedid" id="H" %) 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. 60 60 61 -* 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>>https://www.frontiersin.org/articles/10.3389/fninf.2019.00075/full]] 62 -* 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>>https://www.frontiersin.org/articles/10.3389/fninf.2020.00037/full]] 63 -* 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>>https://www.nature.com/articles/s41592-019-0582-9]] 64 -* ((( 65 -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>>https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0216796]] 66 -))) 21 += What can I find here? = 67 67 68 -==== ==== 23 +* Notice how the table of contents on the right 24 +* is automatically updated 25 +* to hold this page's headers 26 + 27 += Who has access? = 28 + 29 +Describe the audience of this collab. 69 69 ))) 31 +)))
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