EPISODE · Jun 25, 2026 · 24 MIN
1183-Cellist：高分辨率空间转录组多模态细胞分割方法
from 聊聊Sci
这项研究介绍了一种名为 Cellist 的创新多模态细胞分割方法，旨在解决高分辨率空间转录组学中的细胞识别难题。通过结合成像数据与基因表达信息，该工具突破了传统方法在跨平台应用和计算效率上的局限，能够精确界定细胞边界并保留转录组完整性。研究人员在小鼠大脑和肝脏等多种生物样本上验证了其性能，证明该方法显著提升了细胞类型鉴定和空间分析的准确度。此外，Cellist 被成功应用于非小细胞肺癌研究，揭示了治疗后肿瘤微环境中的克隆异质性及与疗效相关的免疫细胞空间分布。总之，这一工具为深入理解复杂组织的单细胞空间架构提供了一个高效且通用的解决方案。References:Sun D, Zhang L, Han T, et al. Accurate, scalable and cross-platform cell identification for high-resolution spatial transcriptomics[J]. Nature Genetics, 2026: 1-12.前往小宇宙评论区与主播互动
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1183-Cellist：高分辨率空间转录组多模态细胞分割方法
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