Are mass spectrometry imaging-based diagnostics becoming reality?

PROTEOMICS CLINICAL APPLICATIONS(2022)

引用 1|浏览4
暂无评分
摘要
Traditional histological tissue-based diagnostics have been slow and often require large numbers of sections to interrogate for several different proteins with immunohistochemical stains. Often, due to small biopsy size, there is not sufficient material available to carry out all the desired tests on a patient sample. Mass Spectrometry Imaging (MSI) enables the simultaneous detection of hundreds to thousands of analytes from a single tissue section. In recent years, great strides have been made to standardize MSI workflows and data analysis to make it an accessible tool for clinicians to use in patient diagnoses. This commentary highlights the advances by Janssen et al. toward this goal that are discussed in this issue (Proteomics Clin Appl., https://doi.org/10.1002/prca.202100068).
更多
查看译文
关键词
machine learning, mass spectrometry imaging, tissue diagnostics
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要