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Updated: Jun 21, 2026

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions
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结合CyTOFmerge的质量细胞测量数据,揭示了异质卵巢癌瘤微环境中的额外细胞表型:试点研究

Liv Cecilie Vestrheim Thomsen1,2,3, Katrin Kleinmanns1, Shamundeeswari Anandan1,2

  • 1Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway.

Cancers
|October 28, 2023
PubMed
概括

合并的质量细胞测量数据改善了高度血清性卵巢癌 (HGSOC) 的瘤微环境 (TME) 特性. 这种方法揭示了新的细胞子集和标记表达,有助于理解HGSOC生物学,并开发可预测的生物标记物,以便更好地治疗.

关键词:
不同质性的异质性高度血清性卵巢癌 (HGSOC) 的情况免疫表因型的确定质量细胞计量质量测量合并算法 合并算法 合并算法瘤微环境 (TME) 是指瘤的微环境.

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Flow Cytometry01:23

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...