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Hello, I am trying Seurat for the latest visium HD data and trying to use SpatialFeaturePlot function. I used the exact same script shown in vignette for preprocessing, but the feature plot is just H&E image and there is no gene expression level displayed. Could you help with this? Thank you very much.
object<- Load10X_Spatial(data.dir=localdir)
# Setting default assay changes between 8um and 16um binning
Assays(object)
DefaultAssay(object) <-"Spatial"
head(object@meta.data)
vln.plot<- VlnPlot(object, features="nCount_Spatial", pt.size=0) + theme(axis.text= element_text(size=4)) + NoLegend()
count.plot<- SpatialFeaturePlot(object, features="nCount_Spatial") + theme(legend.position="right")
# note that many spots have very few counts, in-part# due to low cellular density in certain tissue regionsvln.plot|count.plot
length(rownames((object@assays$Spatial@features@.Data)))
# normalize both 8um and 16um binsobject<- NormalizeData(object)
object@assays$Spatial$datap1<- SpatialFeaturePlot(object, features="CD3D") + ggtitle("CD3D expression (16um)")
p2<- SpatialFeaturePlot(object, features="CD4") + ggtitle("CD4 expression (16um)")
print(p1)
print(p2)
The text was updated successfully, but these errors were encountered:
Hi! Could you try testing a few different numbers for the pt.size.factor argument of SpatialFeaturePlot to see if you are able to see the plotted values? I would recommend changing the value substantially (the current default is 1.6), such as tenfold, since it could just be a scaling factor issue. Also, have you tried using/ran into a similar issue with using SpatialDimPlot on the same data?
Hello, I am trying Seurat for the latest visium HD data and trying to use SpatialFeaturePlot function. I used the exact same script shown in vignette for preprocessing, but the feature plot is just H&E image and there is no gene expression level displayed. Could you help with this? Thank you very much.
The text was updated successfully, but these errors were encountered: