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Stereo-seq Large Chip Designs
The one and only spatial transcriptomics solution achieves both centimeter level FOV (now up to 2cm x 3cm) with subcellular resolution for efficient capturing of the whole transcriptome
Stereo-seq Large Chip Designs
The one and only spatial transcriptomics solution achieves both centimeter level FOV (now up to 2cm x 3cm) with subcellular resolution for efficient capturing of the whole transcriptome
Stereo-seq Large Chip Designs
The one and only spatial transcriptomics solution achieves both centimeter level FOV (now up to 2cm x 3cm) with subcellular resolution for efficient capturing of the whole transcriptome
Solution Overview Product Highlight Workflow Stereo-seq Kit Solutions Demo Data
Solution Overview
STOmics Stereo-seq Transcriptomics for Large Chip Designs (LCD) pioneers the whole transcriptome study for entire tissue sections. Stereo-seq for Large Chip Designs is firstly offered to the market - 1cm x 2cm, 2cm x 2cm, 2cm x 3cm. Compatible for all species (FF samples), it enables a “tissue-to-data” solution through in situ capture of the whole transcriptome, at nanoscale resolution and centimeter-sized field of view.
Solution Overview
Product Highlight
Large Capture Area
Larger capture area with chip sizes up to 2cm by 3cm without compromising the capture efficiency
Species-agnostic
Unlimited by species and tissue types, compatible with fresh frozen samples
Robust Bioinfromatics Tools
Proprietary cell segmentation algorithm integrated on Stereo-seq Analysis Workflow (SAW) transforming data to information
Whole Transcriptome
Unbiased in situ capturing of the whole transcriptome with true nanoscale resolution
Workflow
Tissue to Data End-to-end Solution Tissue to Data End-to-end Solution Tissue to Data End-to-end Solution
Perform Stereo-seq in your own laboratory
with Stereo-seq Large Chip Designs
Tissue to Data End-to-end Solution Tissue to Data End-to-end Solution Tissue to Data End-to-end Solution
Tissue to Data End-to-end Solution
Advance towards a more accurate and in-depth saptial single-cell omics study with Stereo-seq's robust chemistry and efficient bioinformatics tools.


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