半自动化方法用于查询组织样本的空间异质性
Vytautas Navikas1, Joanna Kowal1, Daniel Rodriguez1
1Lunaphore Technologies SA, Tolochenaz, Switzerland.
Scientific reports
|February 29, 2024
概括
空间生物学工具可以半自动分析多重全组织图像,以了解组织组成. 这种方法以用户友好的工作流程促进了瘤微环境 (TME) 的单细胞分辨率探索.
科学领域:
- 空间生物学 空间生物学
- 生物医学成像学 生物医学成像学
- 计算病理学计算病理学
背景情况:
- 组织是复杂的生态系统,细胞相互作用驱动生物过程和疾病.
- 了解单细胞分辨率的组织组成对于生物学和医学洞察至关重要.
- 多重整组织成像产生大型数据集,需要先进的分析方法.
研究的目的:
- 为分析多重全组织图像提供半自动化工作流.
- 展示开源工具对于空间生物学数据提取的实用性.
- 以单细胞分辨率促进瘤微环境 (TME) 组成的探索.
主要方法:
- 利用Lunaphore COMET平台对肺癌样本进行20个生物标志物的询问.
- 采用了内部优化的核检测算法和一种新的图像文物排除方法.
- 使用公开可用的图像分析框架处理数据以确保兼容性.
主要成果:
- 展示了用于多重整组织图像分析的半自动化工作流程.
- 展示了COMET衍生数据与现有分析框架的兼容性.
- 启用单细胞分辨率组织组成的空间细胞剖析.
结论:
- 本工作流提供了一种可访问的,滑入式,数据输出式方法,用于多重成像分析.
- 这种方法简化了在单细胞分辨率下对TME组成的探索.
- 该工作流可转移到各种样本队列,为空间生物学研究提供了有价值的工具集.
相关概念视频
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Stratified Sampling Method
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.
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Cluster Sampling Method
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Random Sampling Method
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Sampling Plans
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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