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Flow Cytometry

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.
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Updated: Jun 14, 2026

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Published on: April 8, 2015

基于超高尺度细胞计的细胞相互作用绘制地图.

Dominik Vonficht^1,2,3, Lea Jopp-Saile^1,2,3,4,5, Schayan Yousefian^4,5,6

¹Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany.

|August 7, 2025

概括

此摘要是机器生成的。

互动-奥米克是一个新的细胞测量框架,以高分辨率和规模地绘制所有免疫细胞之间的细胞相互作用. 这种方法可以详细研究免疫疗法和感染反应.

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Last Updated: Jun 14, 2026

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

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Published on: April 8, 2015

Capturing Chromosome Conformation Across Length Scales

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Published on: January 20, 2023

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科学领域:

免疫学免疫学免疫学
系统生物学系统生物学
生物医学科学生物医学科学

背景情况:

细胞相互作用对于发育,组织平衡和免疫是至关重要的.
目前用于研究细胞相互作用的单细胞基因组方法在吞吐量,成本和细胞类型特异性方面存在局限性.

研究的目的:

介绍Interact-omics,一个基于细胞计量的框架,用于绘制细胞景观和相互作用的地图.
为了实现所有免疫细胞类型及其相互作用的超高分辨率和大规模分析.

主要方法:

开发一个基于细胞测量的框架,命名为Interact-omics.
在免疫疗法和感染模型中应用框架来分析细胞相互作用.

主要成果:

在超高分辨率和尺度下,精确地绘制所有免疫细胞类型的细胞景观和相互作用的细胞地图.
在研究免疫疗法动力学,作用模式和个性化反应预测方面的实用性证明.
在体内感染后对全生物体细胞组成和相互作用动态的分析.

结论:

互动-omics为绘制细胞相互作用提供了一个可扩展的解决方案.
该框架可应用于现有或新的细胞计量数据集.
在基础生物学和应用生物医学中广泛应用,包括免疫疗法和感染研究.