Candace Liu
@CandaceCLiu
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PhD Student @stanfordimmuno | Angelo Lab @MikeAngeloLab Multiplexed imaging, viral immunity, computational tools for image analysis
Joined October 2021
Excited to see this published! Check out Pixie, a pipeline for quantifying non-cellular features (as well as improving cell classifications) in multiplexed images.
Excited to share the latest preprint with @MikeAngeloLab! While imaging studies often focus on cell objects, images capture significant info outside of cells. Enter Pixie, a pipeline for the quantitative annotation of both pixel and cell level features🧵
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RT @JoleneRanek: Super excited to introduce QUICHE (Quantitative InterCellular Niche Enrichment) - a statistical method that can be used to…
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RT @stanfordimmuno: The Stanford Immunology Review Program for Applicants (SIRPA) assists individuals applying to the Immunology PhD progra…
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To wrapup #SBS24, Stanford's @Prof_Lundberg impressed us all with her work across the spatial proteomics realm, including characterizing the subcellular localization of proteins, multiplexed deep-visual proteomics, an upcoming version of the Human Protein Atlas, and so much more!
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We ended Day 2 of #SBS24 with a very lively poster session. Thank you to all of our presenters!
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Rounding out our Spatial Transcriptomics session, we were excited to have @LongCai_Lab tell us about the advancements of seqFISH+, which enables spatial multiomics, imaging mature and nascent transcriptome as well as chromosome and subnuclear structures within the same cells
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Next, @roy_maimon impressed us with stunning MERFISH+ images of the brain, using this spatial data to shed light on the mechanism of glia-derived neurons.
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Next up, Izabella Zamora from Nir Hacohen's lab at the Broad Institute shared her work on using graphical attention in spatial transcriptomics to understand the epithelial - mesenchymal transition.
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Wrapping up this session on Methods in Spatial Biology, @yuqitan3 from @GarryPNolan's lab introduced SPACEc, a streamlined, Python workflow for multiplexed image analysis. Check out the preprint here:
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