10x Genomics
Visium Spatial Gene Expression

Space Ranger1.0, printed on 12/26/2024

Image Outputs

The pipeline output contains a subdirectory named spatial which stores imaging related files. The files include the following:

• tissue_hires_image.png and tissue_lowres_image.png: These files are downsampled versions of the original, full-resolution brightfield image provided by the user. Downsampling is accomplished by box filtering, which averages RGB values in patches of pixels in the full-resolution image to obtain an RGB value of one pixel in the downsampled image. The tissue_hires_image.png image has 2,000 pixels in its largest dimension, and the tissue_lowres_image.png has 600 pixels.

• aligned_fiducials.jpg: This image has the dimensions of tissue_hires_image.png. Fiducial spots found by the fiducial alignment algorithm are highlighted in red. This file is useful to verify that fiducial alignment was successful.

• scalefactors_json.json: This file contains the following fields:

  • tissue_hires_scalef: A scaling factor that converts pixel positions in the original, full-resolution image to pixel positions in tissue_hires_image.png.
  • tissue_lowres_scalef: A scaling factor that converts pixel positions in the original, full-resolution image to pixel positions in tissue_lowres_image.png.
  • fiducial_diameter_fullres: The number of pixels that span the diameter of a fiducial spot in the original, full-resolution image.
  • spot_diameter_fullres: The number of pixels that span the diameter of a tissue spot in the original, full-resolution image.

    $ cd /home/jdoe/runs/sample345/outs/spatial
    $ cat scalefactors_json.json
    {"spot_diameter_fullres": 89.45248682925602, "tissue_hires_scalef": 0.17699115, "fiducial_diameter_fullres":   144.5001710318751, "tissue_lowres_scalef": 0.053097345}
    

• detected_tissue_image.jpg: This image has the dimensions of the tissue_hires_image.png and shows the following:

  • Aligned fiducial spots as red, hollow circles.
  • A blue bounding box. The interior marks the space where tissue versus not-tissue spots are searched for.
  • Spots found under tissue are solid blue.
  • Spots outside of tissue are solid gray.

• tissue_positions_list.csv: This text file contains a table with rows that correspond to spots. It has 4,992 rows, which is the number of spots in the spatial array. Columns, whose names are not specified in the file, correspond to the following fields:

  • barcode: The sequence of the barcode associated to the spot.
  • in_tissue: Binary, indicating if the spot falls inside (1) or outside (0) of tissue.
  • array_row: The row coordinate of the spot in the array from 0 to 77. The array has 78 rows.
  • array_col: The column coordinate of the spot in the array. In order to express the orange crate arrangement of the spots, this column index uses even numbers from 0 to 126 for even rows, and odd numbers from 1 to 127 for odd rows. Notice then that each row (even or odd) has 64 spots.
  • pxl_col_in_fullres: The column pixel coordinate of the center of the spot in the full resolution image.
  • pxl_row_in_fullres: The row pixel coordinate of the center of the spot in the full resolution image.

    $ cd /home/jdoe/runs/sample345/outs/spatial
    $ head -2 tissue_positions_list.csv
    ACGCCTGACACGCGCT-1,0,0,0,910,1261
    TACCGATCCAACACTT-1,0,1,1,1030,1329