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DTSTART;TZID=Australia/Sydney:20250922T130000
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DTSTAMP:20260407T004715
CREATED:20250905T052651Z
LAST-MODIFIED:20250922T070624Z
UID:4155-1758546000-1758549600@spds.sydney.edu.au
SUMMARY:Cell Simulation as Cell Segmentation
DESCRIPTION:Statistical Bioinformatics SeminarDr Daniel Jones\, Fred Hutchinson Cancer Institute\n\n\n\nThis was an online event held via Zoom. \n\n\n\n\n\n\n\n\n\n\n\nSpatial transcriptomics has grown rapidly in scale and adoption\, but the quality and interpretability of the data is marred by the limited ability of prior cell segmentation methods to accurately assign transcripts to cells. Segmentation error causes systematic misidentification of cell types and profoundly confounds many spatial analyses. To help address this issue\, we developed a probabilistic segmentation algorithm\, Proseg\, which uses the spatial distribution of transcripts to determine plausibly boundaries\, dramatically reducing the degree of spurious coexpression downstream false positive results. Recent updates to the method adds support for Visium HD\, handling both imaging- and barcode-based transcriptomic data with the same unified segmentation framework. \n\n\n\n\n\n\nSubscribe to our seminar mailing list\n\n\n\n\n→\n\n\n\n\n\n\n\nFind out more about the Statistical Bioinformatics seminar series\n\n\n\n\n\n→\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDr Daniel Jones\n\n\n\nDaniel Jones is a staff scientist at the Fred Hutchinson Cancer Institute in the lab of Evan Newell since 2020 after receiving his PhD in Computer Science and Engineering at the University of Washington. His work focuses on probabilistic modeling and inference in spatial transcriptomics.
URL:https://spds.sydney.edu.au/event/cell-simulation-as-cell-segmentation/
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