Question: How do I test microscope image compatibility with spaceranger?
Answer: This article outlines steps to test a tissue image without a fiducial frame through Loupe Browser manual alignment and spaceranger count and covers the following scenarios.
- Underlying format is TIF and file extension is TIF or TIFF
- Underlying format is TIF but file extension is not
- How to find the underlying image format?
- Image format is non-TIF: Convert multichannel CZI image to TIFF using Fiji
- Image format is non-TIF: Convert multi-hue SVS image to TIFF using Fiji
- Make the motions of manual alignment in Loupe Browser
- Test image with tiny reads in spaceranger
Visium software pipelines support TIF and JPEG images as well as pyramid TIFFs. If your slide scanner is an unsupported platform or produces an unsupported image format and adheres to the imaging resolution guidelines given in https://support.10xgenomics.com/spatial-gene-expression/imaging/doc/technical-note-visium-spatial-gene-expression-imaging-guidelines, then you can test whether the resolution and contrast of the image allows for automation as well as spatial data exploration as follows.
- Does the image resolve tissue features of interest towards spatial data correlation? This article outlines steps to test this.
- Does the image allow for spaceranger automatic frame and tissue detection? This requires mostly visible Visium slide fiducial frame spots with sufficient contrast and also sufficient contrast between tissue versus non-tissue areas. You will have to obtain a Visium slide to test this. If automation is not possible, then you can perform manual alignment as described at https://support.10xgenomics.com/spatial-gene-expression/software/visualization/latest/alignment.
Sections  and  outline steps for researchers to convert an image to single resolution TIFF using external tool Fiji (ImageJ) v2.3.0/1.53f, downloadable from https://imagej.net/software/fiji/downloads. Section  illustrates Carl Zeiss CZI format conversion and section  illustrates Aperio SVS (ScanScope Virtual Slide) format conversion. After conversion, section  runs the image through Loupe manual alignment, and section  checks spaceranger count acceptance and quality of image conversion.
- For official imaging guidelines, see the technical note at https://support.10xgenomics.com/spatial-gene-expression/imaging/doc/technical-note-visium-spatial-gene-expression-imaging-guidelines. For spaceranger image input recommendations, see https://support.10xgenomics.com/spatial-gene-expression/software/pipelines/latest/using/input-recommendations. Check the spaceranger release notes at https://support.10xgenomics.com/spatial-gene-expression/software/pipelines/latest/release-notes for any updates to supported image formats.
- Fiji is an external public tool, originally developed as ImageJ by the NIH. If you have questions about the tool, please see the ImageJ website. Here are some links to get started.
- The article does not cover use of command line tools for image conversion, e.g. Bio-Formats bftools’ bfconvert. For more information, see https://www.openmicroscopy.org/bio-formats/. Fiji uses Bio-Formats as a plugin, so if conversion in Fiji is possible, then conversion with bftools is also likely possible. Bio-Formats v6.7.0 supported formats are given at https://docs.openmicroscopy.org/bio-formats/6.7.0/supported-formats.html.
- The support team is unable to help with unsupported image formats and so provide this article to researchers towards enabling use of available microscopy systems with the Visium platform. That said, if you have a conversion solution that works for an unsupported image format, it would be great to share these with other researchers. Towards this, we suggest use of a public forum, e.g. Stack Overflow, and use of tags, e.g. [imagej] and [visium] in Stack Overflow. As of this writing, you can view stackoverflow.com questions tagged imagej at https://stackoverflow.com/questions/tagged/imagej.
- If you write to firstname.lastname@example.org about an unsupported image format, we will note the format for consideration in future development.
Disclaimer: This article is provided as-is for instructional purposes only. 10x Genomics does not support nor guarantee the content.
 Underlying format is TIF and file extension is TIF or TIFF
Spaceranger accepts TIF format images. Follow the steps for testing in sections  and .
 Underlying format is TIF but file extension is not
If the underlying format is TIF but the extension is not .TIF or .TIFF, the first thing to try is adding the .TIF extension to the file. Then follow the steps for testing in sections  and . Loupe Browser and Spaceranger accept TIF and JPG file extensions and pyramid format TIFs, which are explained at the bottom of https://support.10xgenomics.com/spatial-gene-expression/software/pipelines/latest/using/input-recommendations.
- QPTIFF is in this category.
Consider conversion with Fiji as illustrated in sections  or  if any of the following apply.
- The image format is non-TIFF.
- The test fails.
- Results show odd color channels.
- You wish to work with a single image resolution from a pyramid TIFF. In general, we do not recommend any transformations that cause loss of data including loss of resolution. Given Loupe Browser allows toggling each color layer of a multi-stack or multi-page TIFF, we recommend retaining layer information if possible.
 How to find the underlying image format?
We recommend imagemagick to confirm a file is TIFF.
To start, first try your system’s `file` utility. Below we see the results of `file` on QPTIFF, Aperio SVS, Mikroscan TIF and CZI format images.
The `file` utility considers all but the CZI file a TIFF. However, if we add a .tif extension to the SVS file and load it into Loupe Browser’s manual alignment wizard, we see a blank image, which is unusable.
Next, download the command line tool imagemagick from https://imagemagick.org/script/download.php and run the `magick identify` command. Below we see results from the four image types.
Here we see metadata associated with the image files. Two of the formats, QPTIFF and Mikroscan TIF show TIFF layer details, while the other two, Aperio SVS and CZI, give messages about unsupported compression and no decode delegate, respectively. The CZI result confirms it is non-TIFF. The SVS result is explained at http://paulbourke.net/dataformats/svs/. Given this, we also consider SVS non-TIFF.
 Image format is non-TIF: Convert multichannel CZI image to TIFF using Fiji
Open Fiji. Load the CZI file in Fiji with File>Open. For the example file, we see an import options panel. Hovering over elements shows information about the element, e.g. the `Use virtual stack` option’s information is on display.
Here we use default parameters, which for my installation include `Split channels`. Clicking OK brings up another options panel showing six series, each with multiple planes.
Given the decreasing dimensions in the metadata description, this CZI format file is a multi-resolution stack or pyramid stack. We continue with the preselected, highest resolution Series 1 for this illustration. This opens four planes in separate windows plus two metadata windows. Convert the planes into a stack by selecting Image>Stacks>Images to Stack.
This merges the four planes into a single stack. For the purposes of this article, for better visualization of screenshots, we convert the 16-bit image stack to 8-bit. The bits refer to the number of tones available, in this case gray-scale tones. A 16-bit image has over 65K shades of gray, whereas an 8-bit image has 256 shades of gray. To check bits in Fiji, go to Image>Type. Here we see 16-bit is checked for an original image plane.
To convert to 8-bit, we simply select Image>Type>8-bit. The conversion increases contrast on our screen and reduces the final file size roughly by half. Save as TIFF by selecting File>Save As>Tiff.
The resulting file is a multi-stack TIFF. We can confirm this when we load the file into Loupe for manual alignment in section .
Splitting and restacking channels and reducing bits are optional steps in converting a CZI image to TIFF. We include the steps for illustration. We can skip restacking by deselecting `Split Channels` in the import options then continuing with choosing a resolution.
 Image format is non-TIF: Convert multi-hue SVS image to TIFF using Fiji
If we apply the instructions in  on the SVS format image and run through the testing, we see something strange in the color layers in Loupe. The overlay shows an unexpected color, in our case seafoam green.
Toggling the channel layers reveals undesirable hue saturation in the layers. These images are not useful in correlating tissue features to gene expression. This suggests the SVS format image splits on hues.
In cases where the layers are better as a composite, import the tissue image into Fiji without any splitting into separate windows. Below all of the Split options are unchecked. I had to uncheck the Split focal planes options, which was toggled on by default.
Fiji stalls on opening the highest resolution Series 1. This is the case even after we increase Fiji’s memory allocation in Edit>Options>Memory & Threads. Continue with the next highest resolution Series 2.
The image opens in a single window with seemingly three identical stacks viewable via the horizontal scrollbar.
Save using File>Save As>Tiff.
Then follow directions in sections  and  to test the converted image in spaceranger.
 Make the motions of manual alignment in Loupe Browser
Loupe Browser is a desktop visual data exploration tool downloadable from https://support.10xgenomics.com/spatial-gene-expression/software/downloads/latest. Launch the application. At the bottom of the initial panel is the option for Visium Image Alignment, which is detailed at https://support.10xgenomics.com/spatial-gene-expression/software/visualization/latest/alignment. Open the wizard.
Load the converted TIFF image and select the option for no slide serial number and no slide layout file. On the next view, at top you should see a dropdown menu labeled Page. Clicking this shows four layers as expected.
In the main image view, click on the four corners clockwise from the upper left. This imposes a mock fiducial frame on the image, which does not originate from a Visium slide.
Next, lasso the entirety of the capture area spots, label as tissue and export the manual alignment. I recommend naming the alignment JSON file exactly as the image file. We will use this file with spaceranger in the next section.
 Test image with tiny reads in spaceranger
For this illustration, we use spaceranger v1.3.0. The latest version of the software is downloadable from https://support.10xgenomics.com/spatial-gene-expression/software/downloads/latest. We use reads and a reference available within the spaceranger package that the `testrun` function described on https://support.10xgenomics.com/spatial-gene-expression/software/pipelines/latest/installation uses with `--id=tiny`.
For the CSI-to-TIF image supply the newly converted TIFF using the `--darkimage` option and the manual alignment file with the `--loupe-alignment` option.
spaceranger-1.3.1/spaceranger count \
For the SVS-to-TIFF image, use the Brightfield `--image` option to supply the image to spaceranger.
spaceranger-1.3.1/spaceranger count \
Each run completes within two minutes.
Note `--image`, `--darkimage` and `colorizedimage` options specify different image types. For a description of parameters see https://support.10xgenomics.com/spatial-gene-expression/software/pipelines/latest/using/count#args. Briefly:
- `--image` is for brightfield TIFF or JPG images
- `--darkimage` is for multi-channel, dark-background images either in single or multi-stack TIFF or JPG format. It is possible to specify --darkimage multiple times.
- `--colorizedimage` is for flattened colorized fluorescent images.
The resulting web summary report and loupe file display features of interest. Below we show screenshots of the Loupe Browser display.
CZI-to-TIF whole-tissue view
CZI-to-TIF Loupe image settings panel and zoomed-in tissue view
SVS-to-TIFF whole-tissue view
SVS-to-TIFF zoomed-in tissue view
Products: Visium for fresh-frozen, Visium for FFPE