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Low-quality cells can be filtered out during the spatial data analysis and will not be viewed on the tissue image. A few examples of low-quality cells are doublets, cells damaged during cell isolation, or cells with too few counts to be analyzed. Click here for more information on Single cell QA/QC. We will not perform Single cell QA/QC in this tutorial; this task would be invoked from the Single cell counts node and the Filter features task discussed below would be invoked from this output node (Filtered counts). 

Filter Features 

We will remove gene expression values that are not relevant to the analysis. 

• Click the Filtering drop-down in the toolbox
• Click the Filter Features task 
• Choose Noise reduction
• Exclude features where value <= 0.0 in at least 99.0% of the cells 
• Click Finish

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