相关实验视频

Updated: Sep 12, 2026

Expanding the Comprehension of the Tumor Microenvironment using Mass Spectrometry Imaging of Formalin-Fixed and Paraffin-Embedded Tissue Samples

Expanding the Comprehension of the Tumor Microenvironment using Mass Spectrometry Imaging of Formalin-Fixed and Paraffin-Embedded Tissue Samples

Published on: June 29, 2022

用显微镜进行质谱成像的图像校正和记录的多式管道

Weiwei Tang¹, Zhen Li², Yuchen Zou¹

¹State Key Laboratory of Natural Medicines and School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.

Analytica chimica acta

|November 17, 2023

概括

这项研究引入了一种新的深度学习策略,以精确地将矩阵辅助激光消耗/电离质谱成像 (MALDI MSI) 与组织学图像对齐. 这种整合通过将分子数据与病理特征联系起来,增强了复杂生物组织的分析.

科学领域:

生物医学成像技术生物医学成像技术
质谱测量质量谱测量
计算生物学计算生物学

背景情况:

矩阵辅助激光脱/电离质谱成像 (MALDI MSI) 和组织学提供了关于组织组成的补充信息.
由于空间分辨率和数据格式的差异,整合这些模式具有挑战性.
准确的图像注册对于将分子数据与组织形态联系起来至关重要.

研究的目的:

开发和验证一种新的计算管道,用于准确地纠正和记录 MALDI MSI 数据,并使用血素和乙素 (H&E) 染色组织学图像.
为了实现无的多式模式图像融合,用于增强生物组织分析.
为了促进分子代谢和病理发现的微区域级相关性.

主要方法:

开发了一个基于深度学习的插值算法,以解决 MALDI MSI 数据中的空间分辨率差异.
相关转换 (AT) 和移动最小平方算法用于图像注册.
该管道在老鼠大脑组织部分上进行了测试,包括脑缺血-再输液损伤模型.

主要成果:

拟议的战略成功地纠正和注册了MALDI MSI数据与高精度的H&E图像.
深度学习插值确保了成像模式之间的空间连贯性和方向匹配.
该管道在老鼠脑损伤模型中展示了实用的实用性,使微区域分析成为可能.

结论:

开发的管道为MALDI MSI和组织学的多模式图像融合提供了有效的解决方案.
这种方法通过将分子和病理信息联系起来,增强对复杂异质组织的理解.
该方法有可能通过改进数据集成来推进各种生物成像领域.

关键词:

深度学习是一种深度学习.在H&E图像中,离子图像离子图像离子图像多式联网图像注册服务多式联网图像注册服务冲动模型冲动模型

更多相关视频

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

Multimodal Study of Murine Cardiovascular Remodeling: Four-Dimensional Ultrasound and Mass Spectrometry Imaging

Multimodal Study of Murine Cardiovascular Remodeling: Four-Dimensional Ultrasound and Mass Spectrometry Imaging

Published on: January 10, 2025

相关概念视频

MALDI-TOF Mass Spectrometry

MALDI-TOF Mass Spectrometry

Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...