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
From version 55.1
edited by puchades
on 2020/09/24 11:43
on 2020/09/24 11:43
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To version 62.2
edited by annedevismes
on 2021/06/08 10:23
on 2021/06/08 10:23
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... ... @@ -2,18 +2,18 @@ 2 2 3 3 == (% style="color:#c0392b" %)**Description**(%%) == 4 4 5 -**The QUINT workflow enables an atlas 5 +**The QUINT workflow enables an atlas-based analysis of extracted features from histological image sections from the rodent brain by using 3D reference atlases. ** 6 6 7 -**Examples of use are :cell counting and spatial distributions;determination of projection areas in connectivity experiments;exploration of pathological hallmarks in brain-use of experimental data.**7 +**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.** 8 8 9 -The workflow is built on the following open :9 +The workflow is built on the following open-access software. 10 10 11 -* [[(% style="color:#2980b9" %)//ilastik//>>doc:.3\. Image segmentation with ilastik.WebHome]](%%) allows the extraction of labelled features such as cells, using machine 11 +* [[(% 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. 12 12 * [[(% 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. 13 -* //[[(% style="color:#3498db" %)VisuAlign>>doc:.Image registration to reference atlas using QuickNII.WebHome]]//(%%) is then used for nonlinear alignment of the reference .13 +* //[[(% 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. 14 14 * (% 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//. 15 15 16 -In combination, the tools facilitate semi-automated quantification, eliminating the need for more time 16 +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. 17 17 18 18 [[[[image:Youtube_QUINT.PNG||height="282" style="float:left" width="500"]]>>https://www.youtube.com/watch?v=8oeg3qTzLnE]] 19 19 ... ... @@ -37,28 +37,23 @@ 37 37 38 38 (% class="box successmessage" %) 39 39 ((( 40 -The semi-automated QUINT workflow uses open 40 +The semi-automated QUINT workflow uses open-access software that can be operated without any scripting knowledge. 41 41 ))) 42 42 43 43 ((( 44 44 (% class="box successmessage" %) 45 45 ((( 46 - As the quantifications are performed in regions defined by a reference atlas, the region definitions are standardized, allowing comparisons of data from different laboratories.46 +Because the quantifications are performed in regions defined by a reference atlas, the region definitions are standardised, allowing comparisons of data from different laboratories. 47 47 ))) 48 48 49 49 ==== (% style="color:#c0392b" %)**References**(%%) ==== 50 50 51 -* 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]]51 +* 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]] 52 52 * 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]] 53 -* 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>> attach:https://www.nature.com/articles/s41592-019-0582-9]]53 +* 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]] 54 54 * ((( 55 55 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]] 56 56 ))) 57 57 58 -==== (% style="color:#c0392b" %)**User support**(%%) ==== 59 - 60 -* [[Nutil>>https://github.com/Neural-Systems-at-UIO/nutil]] 61 -* [[QuickNII>>https://www.nitrc.org/projects/quicknii]] 62 -* [[VisuAlign>>https://www.nitrc.org/projects/visualign/]] 63 -* [[ilastik>>https://www.ilastik.org/]] 58 +==== ==== 64 64 )))
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