Add tensor visualisation to a plotly graph of type mesh3d
show_tensors(p, cellGraph, tensor_name, scale = 1)
p | A plot created with plotlyMesh() function. |
---|---|
cellGraph | A cell graph created with read_cellGraph(). |
tensor_name | The name of the tensor variable from cell graph to visualise. |
scale | Shorten or lengthen the line for visualisation. |
a plotly graph
# NOT RUN { myMesh <- readRDS(system.file("extdata", "mgx/2013-02-12_LTi6B_dis_A_T0_cells_minW1_normalMesh_full.rds", package = "cellviz3d")) myCellGraph <- readRDS(system.file("extdata", "mgx/2013-02-12_LTi6B_dis_A_T0_cells_minW1_cellGraph_full.rds", package = "cellviz3d")) # With a uniform mesh color: p <- plotlyMesh(meshExample = myMesh, meshCellcenter = meshCellcenter) %>% layout(scene = list(aspectmode = "data")) show_tensors(p, myCellGraph, tensor_name = "CellAxiscurv10microns", scale = 50) # }