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相关概念视频

Overview Of Cell Separation And Isolation01:20

Overview Of Cell Separation And Isolation

5.7K
Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.
5.7K
Flow Cytometry01:23

Flow Cytometry

13.0K
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...
13.0K
Fixation and Sectioning01:03

Fixation and Sectioning

4.3K
Two basic types of preparation are used to visualize specimens with a light microscope: wet mounts and fixed specimens.
The simplest type of preparation is the wet mount, in which the specimen is placed in a drop of liquid on the slide. A liquid specimen can be directly deposited on the slide using a dropper. Solid specimens, such as skin scraping, can be placed on the slide before adding a drop of liquid to prepare the wet mount. Sometimes the liquid is simply water, but stains are often added...
4.3K
T Cell Activation and Clonal Selection01:22

T Cell Activation and Clonal Selection

721
T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection.
Naive T cells that have not yet encountered an antigen express two primary CD...
721

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相关实验视频

Updated: Jun 29, 2025

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
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Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

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对于功能性细胞类型聚类的大多数歧视性刺激.

Max F Burg1,2,3, Thomas Zenkel4,5, Michaela Vystrčilová2

  • 1International Max Planck Research School for Intelligent Systems, Tübingen, Germany.

ArXiv
|April 1, 2024
PubMed
概括

这项研究引入了一种使用深度学习的新方法,以找到最具歧视性的刺激 (MDS) 来识别视网膜和视觉皮层中的功能神经元类型. 这种方法使得物种之间更快,更公正的细胞类型分类成为可能.

科学领域:

  • 神经科学是一个神经科学.
  • 计算神经科学是一种神经科学.

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Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone
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Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells
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Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

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Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone
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Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells
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  • 机器学习 机器学习
  • 背景情况:

    • 识别视网膜和视觉皮层中的功能性细胞类型对于理解知觉和认知至关重要.
    • 目前用于细胞类型识别的方法依赖于专家知识,并偏向已知的类型,阻碍了公正的发现.
    • 在神经科学中,对功能性神经元群体的无偏见识别仍然是一个挑战.

    结论:

    • 这种新的方法提供了一个强大的工具,用于在大脑中无偏的功能性细胞类型的识别.
    • MDS的可解释性质有助于理解定义特定神经元类型的刺激模式.
    • 该方法显著加速了实验工作流程,使以前时间有限的实验成为可能.