Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

3.3K
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
3.3K
Convenience Sampling Method00:55

Convenience Sampling Method

11.7K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
11.7K
Sampling Methods: Overview01:06

Sampling Methods: Overview

3.5K
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
3.5K
Systematic Sampling Method01:17

Systematic Sampling Method

13.4K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
13.4K
Stratified Sampling Method01:16

Stratified Sampling Method

15.6K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
15.6K
Cluster Sampling Method01:20

Cluster Sampling Method

14.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
14.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

GRP78 associates with alpha-synuclein in vulnerable neurons of the Parkinson's disease brain.

Acta neuropathologica·2026
Same author

Circulating tumour cell-derived xenograft as a preclinical platform for metastatic breast cancer.

British journal of cancer·2026
Same author

Correction: Cutaneous α-Synuclein Pathology as a Differential Marker: A Histological and Statistical Comparison across Neurodegenerative Disease Groups.

Journal of molecular neuroscience : MN·2026
Same author

Cutaneous α-Synuclein Pathology as a Differential Marker: A Histological and Statistical Comparison across Neurodegenerative Disease Groups.

Journal of molecular neuroscience : MN·2026
Same author

Unusual histopathologic finding in axillary lymph node in patient with invasive breast carcinoma NST: Case report and literature review.

Ceskoslovenska patologie·2026
Same author

Fetal Sex Modulates Hofbauer Cells' Response to Diabetes in Human Placenta.

Biomedicines·2025
Same journal

EBV-associated plasmacytic variant of Castleman disease: more than a decade-long diagnostic odyssey - a case report.

Ceskoslovenska patologie·2026
Same journal

Castleman-Like Lymphadenopathy in a Patient with Mixed Connective Tissue Disease: A Case Report and Review of the Literature.

Ceskoslovenska patologie·2026
Same journal

Targeted gene expression profiling as a tool for diagnostic cell-of-origin determination and prognostic stratification in diffuse large B-cell lymphoma.

Ceskoslovenska patologie·2026
Same journal

The advantages and limitations of the new FIGO 2023 staging system for endometrial carcinoma from the perspective of the clinician and pathologist.

Ceskoslovenska patologie·2026
Same journal

Castleman disease - one name, many faces.

Ceskoslovenska patologie·2026
Same journal

Testing Claudin 18.2 Expression in Gastric and Gastroesophageal Junction Adenocarcinoma: Current Status and Near‑Future Outlook.

Ceskoslovenska patologie·2026
查看所有相关文章

相关实验视频

Updated: Feb 16, 2026

Immunohistochemistry Test for the Lyssavirus Antigen Detection from Formalin-Fixed Tissues
08:42

Immunohistochemistry Test for the Lyssavirus Antigen Detection from Formalin-Fixed Tissues

Published on: October 26, 2021

4.7K

目前用于多重免疫组织化学的方法,用于素固定组织样本.

Romana Hendrychová, Kateřina Čížková, Dominik Hraboš

    Ceskoslovenska patologie
    |February 14, 2026
    PubMed
    概括
    此摘要是机器生成的。

    多重免疫组织化学 (mIHC) 推进了瘤微环境的空间分析,克服了传统方法的局限性. 进一步融入诊断需要标准化,以改善癌症的特征和治疗.

    关键词:
    数字病理学数字病理学免疫光效应 免疫光效应质谱测量质量谱测量多重免疫组织化学.

    更多相关视频

    Standardized Processing for Formalin-Fixed, Paraffin-Embedded Cell Pellet Immunohistochemistry Controls
    06:43

    Standardized Processing for Formalin-Fixed, Paraffin-Embedded Cell Pellet Immunohistochemistry Controls

    Published on: July 27, 2022

    9.7K
    Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue
    09:20

    Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue

    Published on: September 2, 2013

    28.4K

    相关实验视频

    Last Updated: Feb 16, 2026

    Immunohistochemistry Test for the Lyssavirus Antigen Detection from Formalin-Fixed Tissues
    08:42

    Immunohistochemistry Test for the Lyssavirus Antigen Detection from Formalin-Fixed Tissues

    Published on: October 26, 2021

    4.7K
    Standardized Processing for Formalin-Fixed, Paraffin-Embedded Cell Pellet Immunohistochemistry Controls
    06:43

    Standardized Processing for Formalin-Fixed, Paraffin-Embedded Cell Pellet Immunohistochemistry Controls

    Published on: July 27, 2022

    9.7K
    Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue
    09:20

    Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue

    Published on: September 2, 2013

    28.4K

    科学领域:

    • 病理学 病理学 病理学
    • 免疫组织化学 免疫组织化学
    • 癌症研究 癌症研究

    背景情况:

    • 传统的组织病理学方法,如H&E染色和染色体IHC在检测多个生物标志物和分析空间细胞关系方面存在局限性.
    • 多重免疫组织化学 (mIHC) 克服了这些局限性,使FFPE组织能够同时检测多个表位和详细的空间分析.
    • 描述瘤微环境对于开发已经改变了癌症治疗的免疫疗法至关重要.

    研究的目的:

    • 审查多重免疫组织化学 (mIHC) 方法用于分析甲固化嵌 (FFPE) 组织的能力.
    • 讨论mIHC检测技术的进展,包括染色体,免疫光,核酸结合抗体和质谱学.
    • 突出将mIHC纳入常规临床诊断中的挑战和未来前景.

    主要方法:

    • 对现代多重免疫组织化学 (mIHC) 技术的审查.
    • 讨论各种检测策略:顺序循环标记,提拉胺信号放大,核酸结合抗体和质谱.
    • 分析挑战,包括标准化,抗体验证,数据分析和监管方面.

    主要成果:

    • mIHC允许同时检测多个生物标志物,并对瘤微环境中的细胞群进行空间分析.
    • 像核酸结合抗体和质谱学这样的先进技术提供了增强的特异性,定量分析和广泛的生物标志物分析.
    • 尽管技术进步,但日常临床整合在标准化,验证,数据分析和监管方面面临着障碍.

    结论:

    • 多重免疫组织化学 (mIHC) 对细致瘤微环境分析的传统方法具有显著的优势.
    • 预计病理学领域的持续自动化和数字化将推动mIHC在临床实践中的更广泛采用.
    • 成功整合mIHC承诺更深层次的瘤特征和改善患者治疗结果.