多模式图像融合为质谱成像提供了更好的空间分辨率
Lei Guo1, Jinyu Zhu1, Keqi Wang2
1Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361005, China.
Analytical chemistry
|June 9, 2023
概括
深度学习模型DeepFERE通过融合多模式图像来增强质谱图像 (MSI) 的分辨率. 这种新的方法改善了癌症和健康组织之间的边界检测,为生物医学成像提供了潜力.
科学领域:
- 生物医学成像学 生物医学成像学
- 计算病理学计算病理学
- 质谱成像分析分析 质谱成像分析
背景情况:
- 在质谱成像 (MSI) 中,高分辨率重建至关重要,但由于其不良位置,具有挑战性.
- 现有的方法难以同时获得足够的空间细节和化学信息.
研究的目的:
- 开发一个深度学习模型 (DeepFERE) 用于高分辨率的MSI重建.
- 为了利用多式联动图像融合和注册,改善空间分辨率增强.
- 为了验证模型在划定组织边界和保存化学信息方面的有效性.
主要方法:
- 提出了DeepFERE,这是一个集成多式模式图像注册和融合的深度学习模型.
- 使用血素和素 (H&E) 染色显微镜成像作为高分辨率重建的约束.
- 在相互增强的框架内设计了一种用于多任务优化的新型架构.
主要成果:
- DeepFERE成功生成了具有详细结构和丰富化学信息的高分辨率MSI重建图像.
- 定量和视觉评估证实了该模型在增强空间分辨率方面的有效性.
- 该方法显著改善了MSI数据中癌症和准癌症区域之间的界限的划分.
- 证明了重建低分辨率空间转录组学数据的潜力.
结论:
- 通过有效地融合多式联网数据,DeepFERE为高分辨率的MSI重建提供了强大的解决方案.
- 该模型通过改善组织微环境的可视化来提高诊断准确性.
- 在生物医学研究中,DeepFERE显示出更广泛应用的前景,包括空间转录学.
相关概念视频
Mass Analyzers: Overview
745
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
745
Tandem Mass Spectrometry
1.1K
Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and signal-to-noise ratio for the analyte. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.
Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called collision-induced...
Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called collision-induced...
1.1K
Mass Spectrometry: Complex Analysis
832
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
832
High-Resolution Mass Spectrometry (HRMS)
1.5K
The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
1.5K
Mass Spectrometers
5.7K
This lesson details the instrumentation of a mass spectrometer—a physical instrument to perform mass spectrometry on analyte molecules and record the characteristic mass spectra. This is achieved via three chief functions:
5.7K
Super-resolution Fluorescence Microscopy
7.1K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
7.1K


