Can't get a dimplot overlapped by tissue image (Error in object[[img]])

[rouninnomi]

Hi, I want to get a dimplot overlapped by tissue image. I ran a code below,

ImageDimPlot(wt.obj, cols = "polychrome", size = 0.75, axes = TRUE, overlap = TRUE)

And I recieved the error message below,

Warning: No FOV associated with assay 'SCT', using global default FOV
Error in `object[[img]]`:
! ‘’ not found in this Seurat object

Given wt.obj was a Seurat object produced by,

# Only these codes were run on a Google Colaboratory Notebook, since Xenium data was heavy
dirname <- "/content/drive/Shareddrives/MY_GOOGLE_DRIVE_FOLDER"
wt.obj <- LoadXenium(dirname, fov = "fov") %>%
    subset(subset = nCount_Xenium > 0)

wt.obj <- SCTransform(wt.obj, assay = "Xenium")
wt.obj <- RunPCA(wt.obj, npcs = 30, features = rownames(wt.obj))
wt.obj <- RunUMAP(wt.obj, dims = 1:30)
wt.obj <- FindNeighbors(wt.obj, reduction = "pca", dims = 1:30)
wt.obj <- FindClusters(wt.obj, resolution = 0.3)

overlap = FALSE works normally. How can I fix it?

R version 4.2.2 (2022-10-31)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 22.04.1 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8       
 [4] LC_COLLATE=en_US.UTF-8     LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                  LC_ADDRESS=C              
[10] LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] shiny_1.8.0        fs_1.6.3           lubridate_1.9.2    forcats_1.0.0     
 [5] stringr_1.5.1      dplyr_1.1.4        purrr_1.0.2        readr_2.1.4       
 [9] tidyr_1.3.0        tibble_3.2.1       ggplot2_3.4.4      tidyverse_2.0.0   
[13] Seurat_5.0.1       SeuratObject_5.0.1 sp_2.1-2          

loaded via a namespace (and not attached):
  [1] Rtsne_0.17             colorspace_2.1-0       deldir_2.0-2           ellipsis_0.3.2        
  [5] ggridges_0.5.4         RcppHNSW_0.5.0         rstudioapi_0.14        spatstat.data_3.0-3   
  [9] farver_2.1.1           leiden_0.4.3.1         listenv_0.9.0          ggrepel_0.9.4         
 [13] RSpectra_0.16-1        fansi_1.0.6            codetools_0.2-18       splines_4.2.2         
 [17] knitr_1.45             polyclip_1.10-6        spam_2.10-0            jsonlite_1.8.8        
 [21] ica_1.0-3              cluster_2.1.4          png_0.1-8              uwot_0.1.16           
 [25] sctransform_0.4.1      spatstat.sparse_3.0-3  compiler_4.2.2         httr_1.4.7            
 [29] Matrix_1.6-4           fastmap_1.1.1          lazyeval_0.2.2         cli_3.6.2             
 [33] later_1.3.2            htmltools_0.5.7        tools_4.2.2            igraph_1.6.0          
 [37] dotCall64_1.1-1        gtable_0.3.4           glue_1.6.2             RANN_2.6.1            
 [41] reshape2_1.4.4         Rcpp_1.0.11            scattermore_1.2        vctrs_0.6.5           
 [45] spatstat.explore_3.2-5 nlme_3.1-161           progressr_0.14.0       lmtest_0.9-40         
 [49] spatstat.random_3.2-2  xfun_0.41              globals_0.16.2         timechange_0.2.0      
 [53] mime_0.12              miniUI_0.1.1.1         lifecycle_1.0.4        irlba_2.3.5.1         
 [57] pacman_0.5.1           goftest_1.2-3          future_1.33.0          MASS_7.3-58.1         
 [61] zoo_1.8-12             scales_1.3.0           hms_1.1.3              promises_1.2.1        
 [65] spatstat.utils_3.0-4   parallel_4.2.2         RColorBrewer_1.1-3     yaml_2.3.8            
 [69] reticulate_1.34.0      pbapply_1.7-2          gridExtra_2.3          stringi_1.8.3         
 [73] fastDummies_1.7.3      rlang_1.1.2            pkgconfig_2.0.3        matrixStats_1.2.0     
 [77] evaluate_0.23          lattice_0.20-45        ROCR_1.0-11            tensor_1.5            
 [81] labeling_0.4.3         patchwork_1.1.3        htmlwidgets_1.6.4      cowplot_1.1.1         
 [85] tidyselect_1.2.0       parallelly_1.36.0      RcppAnnoy_0.0.21       plyr_1.8.9            
 [89] magrittr_2.0.3         R6_2.5.1               generics_0.1.3         withr_2.5.2           
 [93] pillar_1.9.0           fitdistrplus_1.1-11    survival_3.5-0         abind_1.4-5           
 [97] future.apply_1.11.0    KernSmooth_2.23-20     utf8_1.2.4             spatstat.geom_3.2-7   
[101] plotly_4.10.3          rmarkdown_2.25         tzdb_0.3.0             grid_4.2.2            
[105] data.table_1.14.10     digest_0.6.33          xtable_1.8-4           httpuv_1.6.13         
[109] munsell_0.5.0          viridisLite_0.4.2