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UID:pretalx-juliacon-2026-8JFFSK@pretalx.com
DTSTART;TZID=CET:20260813T114500
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DESCRIPTION:Spatial transcriptomics (sTx) is a cutting edge technology comb
 ining microscopy and high-throughput sequencing or molecular probes to mea
 sure transcription in the context of cells within their tissue context\, e
 nabling researchers to achieve single-cell resolution and identify spatial
  relationships between cell types. While this technology opens up many new
  avenues for investigation\, proprietary analysis applications provided by
  the manufacturers of sTx machines are typically slow (often requiring clo
 ud-based compute)\, feature-poor\, and do not generalize across technologi
 es. `SpatialOmics.jl` is a new package that combines functionality from Ju
 liaImages\, JuliaGeo\, and JuliaData to offer open source and extensible e
 nd-to-end analysis tools for spatial 'omics applications.
DTSTAMP:20260502T104021Z
LOCATION:Room 4
SUMMARY:SpatialOmics.jl - Using the geo\, image\, and data stacks to analyz
 e spatial transcriptomics data - Kevin Bonham\, PhD
URL:https://pretalx.com/juliacon-2026/talk/8JFFSK/
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