Evaluating the Technical Performance of Single-Cell Spatial Molecular Imaging Technologies
The CosMx™ SMI and decoder probes are not offered and/or delivered to the Federal Republic of Germany for use in the Federal Republic of Germany for the detection of cellular RNA, messenger RNA, microRNA, ribosomal RNA and any combinations thereof in a method used in fluorescence in situ hybridization for detecting a plurality of analytes in a sample without the consent of the President and Fellows of Harvard College (Harvard Corporation) as owner of the German part of EP 2 794 928 B1. The use for the detection of cellular RNA, messenger RNA, microRNA, ribosomal RNA and any combinations thereof is prohibited without the consent of the President and Fellows of Harvard College (Harvard Corporation).
What matters most when selecting a single-cell imager?
Discover the critical role of performance metrics in the evaluation of spatial imagers, ensuring the precise capture of single-cell and sub-cellular information. These are key parameters that guarantee the accurate measurement of spatial data. Our findings underscore the synergy of multiplex capabilities and data accuracy, essential for understanding wide-ranging biological questions. Moreover, we expose/reveal the pivotal impact of transcript misassignment, shedding light on the dominant role of cell segmentation in data quality.
Precise cell segmentation is the most important parameter when determining data accuracy. An imager’s ability to identify accurate cell boundaries to minimize segmentation errors provides the confidence to draw biologically impactful conclusions from your spatial data.
Inadequate cell segmentation algorithms will incorrectly draw cell boundaries
The highest multiplexing capabilities provide invaluable biological insights enabling researchers to uncover cellular interactions that were once hidden.
Platform plex expands the extent of biological insights from spatial imagers
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