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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... ... @@ -2,8 +2,12 @@ 2 2 3 3 == (% style="color:#c0392b" %)**Description**(%%) == 4 4 5 -The QUINT workflow facilitatesthe quantificationandspatial analysis oflabelled featuresin imagesofhistological sections from the rodent brain using 3D reference atlases.The workflow is built on the following open access software:5 +**The QUINT workflow enables an atlas based analysis of extracted features from histological image sections from the rodent brain 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 disease models. Integration of various data to the same reference space enables new exploration strategies and re-use of experimental data.** 8 + 9 +The workflow is built on the following open access software: 10 + 7 7 * [[(% style="color:#2980b9" %)//ilastik//>>doc:.3\. Image segmentation with ilastik.WebHome]](%%) allows the extraction of labelled features such as cells, using machine learning image segmentation. 8 8 * [[(% 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. 9 9 * //[[(% style="color:#3498db" %)VisuAlign>>doc:.Image registration to reference atlas using QuickNII.WebHome]]//(%%) is then used for nonlinear alignment of the reference atlas slice to the section image..