Morphometric Cell Classification for Single-Cell MALDI-Mass Spectrometry Imaging

被引：53

作者：

Scupakova, Klara ^{[1
]}

Dewez, Frederic ^{[1
,2
]}

Walch, Axel K. ^{[3
]}

Heeren, Ron M. A. ^{[1
]}

Balluff, Benjamin ^{[1
]}

机构：

[1] Univ Maastricht, Maastricht MultiModal Mol Imaging Inst M4I, Univ Singel 50, NL-6200 MD Maastricht, Netherlands

[2] Univ Liege, Mass Spectrometry Lab MSLab, Liege, Belgium

[3] Helmholtz Zentrum Munchen, Res Unit Analyt Pathol, Oberschleissheim, Germany

来源：

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION | 2020年 / 59卷 / 40期

基金：

美国国家卫生研究院;

关键词：

imaging; lipids; mass spectrometry; morphometry; single-cell analysis;

D O I：

10.1002/anie.202007315

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

The large-scale and label-free molecular characterization of single cells in their natural tissue habitat remains a major challenge in molecular biology. We present a method that integrates morphometric image analysis to delineate and classify individual cells with their single-cell-specific molecular profiles. This approach provides a new means to study spatial biological processes such as cancer field effects and the relationship between morphometric and molecular features.

引用

页码：17447 / 17450

页数：4

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