Explore tweets tagged as #slideseq
🚨PREPRINT ALERT🚨. Systematic comparison of sequencing-based spatial transcriptomic methods🫶. #ST #benchmark #Visium #HDST #BMKMANUS1000 #SlideSeq #StereoSeq #PIXELSeq #DBiTseq. 👉
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#SlideSeq uses sequencing to build detailed tissue maps without need for a microscope; shows numerous cell types and patterns of gene expression
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Leveraging deep learning, we integrate morphological features from the H&E image to discover unique tissue compartments. We also demonstrate the versatility of chrysalis using #Visium, #Slideseq, and #Stereoseq data. 🧵 (4/6)
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"Single-cell visualization techniques are taking the research community by storm." Our VP of Biology Tarjei Mikkelsen tells @nature how 10x is helping lead the way in this rapidly growing area. #SingleCell #SlideSeq
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Leveraging deep learning, we integrated morphological features from H&E images to uncover tissue compartments defined by morphology and expression. We also tested Chrysalis on multiple platforms, such as #VisiumHD, #SlideSeq, and #StereoSeq. 🧵 (5/7)
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In a new paper led by @mantri_madhav.out today in @NatureCVR, we used single cell and spatial transcriptomics (@10xGenomics and SlideSeq) and lots of single molecule FISH to learn about the processes by which viral infection leads to myocarditis. @Innov_Medicine
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La rubrique « Chroniques génomiques » de Bertrand Jordan est consacrée à la technique « #slideseq », une puissante méthode d’analyse de l’expression des #gènes sur coupes de tissus, avec une résolution quasi-#cellulaire.
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Vesalius performs tissue anatomization from spatial transcriptomics data. It features detection of tissue territory and anatomy associated genes. By @pcnmartin #transcriptomics #HDST #SlideSeq .
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#Slideseq | A scalable technology for #high_spatial_resolution RNA capture from tissue | Evan Macosko @broadinstitute @MIT @sciencemagazine
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Very interesting new technique called Slide-seq has just come out. It allows you to look at genome-wide expression profiles in tissue slices at 10-micron resolution. #neuroscience #brain #neuron #Slideseq #scRNAseq #transcriptome
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Leveraging deep learning, we integrated morphological features from H&E images to uncover tissue compartments defined by morphology and expression. We also tested Chrysalis on multiple platforms, such as #VisiumHD, #SlideSeq, and #StereoSeq.
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#Spatial_Transcriptomics | Highly sensitive at near-cellular resolution with #SlideSeq_V2 | Fei Chen @broadinstitute @NatureBiotech
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