10x Genomics 1000433, Руководство пользователя

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CG000542 | Rev A
Link to TOC | 10xgenomics.com
User Guide | CytAssist Instrument | Introduction
The Visium CytAssist is a compact, bench top instrument that automates
the transfer of transcriptomic analytes from standard microscope slides
to Visium slides, enabling spatial profiling insights from more samples.
Compatible with hematoxylin and eosin (H&E)- or immunofluorescence
(IF)-stained FFPE tissue sections, the CytAssist instrument allows pre-
sectioned tissues to be used for the Visium workflow and eliminates the
need to directly section onto Visium slides.
Further optimization of Visium experiments can be achieved by pre-
screening tissue sections using standard histological techniques to find
biologically significant sections, then using the CytAssist instrument
workflow to precisely align those sections within the Visium Capture
Areas. Using Visium Cytassist, analytes from up to two FFPE tissue
sections can be captured on CytAssist specific slides in less than one
hour per run.
Highlights
• Simplify sample handling with automated transfer of transcriptomic
analytes from standard slides onto the Capture Area of a Visium slide
• Eliminate the need to section directly onto the Visium slide, and
expand sample compatibility to pre-sectioned slides
• Maximize insights from Visium experiments by pre-screening tissue
sections with standard histological techniques to select the most
biologically significant sections
• Precisely capture analytes from up to two FFPE tissue sections per run
in less than one hour using CytAssist specific slides and reagents
Product Compatibility
The Visium CytAssist is designed for compatibility with the Visium
CytAssist Spatial Gene Expression for FFPE assay:
• For Mouse or Human tissues
• With 6.5 mm or 11 mm Capture Area options
2 Tissue Slides
with H&E or
IF stained
sections
Visium
CytAssist Slide
6.5 mm or
11 mm
Visium CytAssist Visium
CytAssist Slide
with target molecules
captured by oligos
2 Images
with spatial orientation
for mapping
sequencing data
Introduction