貴重及共同儀器中心

Xenium 空間轉錄體分析工作坊：運用 SpatialX 探索腫瘤微環境

本 Workshop 將以 SpatialX 分析 Xenium 空間轉錄體資料，從資料匯入、品質檢測、資料探索與視覺化開始，介紹細胞分群、細胞類型註解及 BANKSY 空間分群等分析方法，並比較空間感知分群與傳統分群的差異。進一步透過大腸直腸癌（CRC）及肝轉移的實際研究案例，探索腫瘤區域、基因與路徑變化、細胞狀態、腫瘤微環境及細胞間互動，帶領大家從空間資料分析深入理解腫瘤微環境的生物學意義。

名  稱： Xenium 空間轉錄體分析工作坊：運用 SpatialX 探索腫瘤微環境

時  間： 2026年10月13日（二）上午09：30–11：30

講  者： Hazel Pham, Product Specialist, BioTuring

演講地點： 第一醫學大樓 十樓 會議室二
報名連結：
 https://docs.google.com/forms/d/e/1FAIpQLScgkYyohEp0XehwYs6yIVvNvgJ4xyxZiBdyoQspUzfr2c55aA/viewform

活動重點：
・Xenium 資料匯入、探索與視覺化
・細胞分群與細胞類型註解
・BANKSY 空間分群與傳統分群方法比較
・組織結構與腫瘤微環境分析
・大腸直腸癌及肝轉移實際案例解析
・細胞空間分布、距離分析與細胞間互動
・Q&A 與專家交流 

主辦單位： 長庚大學 貴重及共同儀器中心 基因體核酸分析平台

協辦單位： 世基生物醫學股份有限公司

名額有限，額滿為止
歡迎對 Xenium 空間轉錄體、SpatialX、腫瘤微環境及空間生物學分析有興趣的研究人員與師生踴躍報名參加！

Agenda

Event Information

Workshop Agenda — Xenium Spatial Data Analysis with SpatialX: From Clustering to Tumor Microenvironment Insights
Oct 13 | 9:30–11:30 AM | Chang Gung University

Session 1 (9:30–10:15) — How to Work with Xenium Data on SpatialX

• Effortless Xenium data submission: local upload, S3, or command line, with multi-sample auto-population for large studies
• Automated QC, embedding & clustering the moment your data lands
• Visualize genes, proteins & cell types together - from whole slide to single transcript
• Annotate cell types using built-in references or your own single-cell data as a custom reference
• NEW — BANKSY spatial clustering: see spatially-aware vs. standard clustering compared side-by-side on real Xenium data
• Align your own H&E images onto Xenium morphology in a few clicks
• Advanced downstream spatial intelligence: move beyond basic clustering to map complex tissue architectures, deep-learning-driven region segmentation, precision microenvironment distance/proximity queries, and coordinate-mapped cell–cell communication (CCC)
• The Agentic AI & LLM-assisted SDK revolution: from manual programming to plain-language pipelines, use SpatialX SDK + AI Chat to automate end-to-end workflows (clustering to niches) and instantly generate trackable, publication-ready HTML reports with therapeutic annotations

Break (10:15–10:25)

Session 2 (10:25–11:10) — SpatialX for TME Analysis in Colorectal Cancer & Liver Metastasis

• Real case study: primary CRC vs. liver metastasis (published in Science, 2023)
• Detect tumor regions two ways, pathologist-style manual annotation or automated image segmentation
• Uncover the genes & pathways separating primary tumors from metastases (TNF-α, EMT, inflammation)
• Discover hidden cell states: CXCL13⁺ CD8 T cells, SPP1⁺ & OLFM4⁺ cancer cells
• Profile the 100 µm tumor microenvironment with distance query & cell–cell communication analysis
• Export publication-ready figures instantly with BioVinci

Q&A with BioTuring Experts (11:10–11:30)

Bring your Visium HD & Xenium analysis questions — leave with answers