综合空间方法 (CSM):在组织病理学中空间分析组织的工具箱
Alvaro Lopez-Janeiro1, Eduardo Miraval-Wong1, Paulo Perez-Dominguez1
1Department of Pathology, Clinica Universidad de Navarra, Pamplona, Spain.
Laboratory investigation; a journal of technical methods and pathology
|December 28, 2025
概括
综合空间方法 (CSM) 是一种新的基于R的工具箱,用于分析多重和高复杂组织成像数据. CSM提供了一个完整的管道空间奥米克分析,改进细胞表型和相互作用研究.
科学领域:
- 空间生物学 空间生物学
- 组织病理学 组织病理学
- 计算生物学是一种计算生物学.
背景情况:
- 多重复合和高复合组织成像能够同时对具有空间背景的多种蛋白质进行询问.
- 现有的分析管道缺乏全面覆盖空间奥米克分析的全部范围.
- 分析挑战阻碍了高分辨率空间平台的全部潜力.
研究的目的:
- 介绍综合空间方法 (CSM),一个基于R的工具箱,用于分析多重复和高复杂的OMIC数据.
- 为了提供一个用户友好的,全面的分析管道空间解析的组织病理学数据.
- 解决从细分到细胞相互作用确定的综合分析的需求.
主要方法:
- 开发一个名为CSM的基于R的分析工具箱.
- 实现用于细胞和组织细分,蛋白质正常化,细胞表型和空间分析的模块.
- 使用高性能R库,提供用户友好的体验.
- 在各种癌症和非瘤组织的多重和高复合图像上测试CSM.
主要成果:
- 与最先进的资源相比,CSM在细胞表型和量化方面表现出卓越的性能.
- 该工具箱有效地评估细胞表型,空间异质性,细胞对细胞相互作用和细胞社区.
- CSM涵盖了空间解析数据的广泛分析场景.
- 在包括癌瘤和非瘤组织在内的各种组织类型上验证的性能.
结论:
- CSM提供了一个全面的,免费可用的解决方案,用于分析多重和高复杂的空间数据.
- 该工具箱解决了许多研究人员的工作与空间解析的组织病理学的分析需求.
- 通过综合空间分析,CSM提高了对生物过程的理解.
更多相关视频
09:19Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
5.3K
06:47Expanding the Comprehension of the Tumor Microenvironment using Mass Spectrometry Imaging of Formalin-Fixed and Paraffin-Embedded Tissue Samples
Published on: June 29, 2022
2.5K
相关概念视频
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
01:20Comparing the Survival Analysis of Two or More Groups
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
01:21Manipulation and Analysis
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...