School of Medicine, Department of Pathology, Stanford University, Stanford, California, United States of America.
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
PLoS Comput Biol. 2021 Apr 19;17(4):e1008887. doi: 10.1371/journal.pcbi.1008887. eCollection 2021 Apr.
Mass Based Imaging (MBI) technologies such as Multiplexed Ion Beam Imaging by time of flight (MIBI-TOF) and Imaging Mass Cytometry (IMC) allow for the simultaneous measurement of the expression levels of 40 or more proteins in biological tissue, providing insight into cellular phenotypes and organization in situ. Imaging artifacts, resulting from the sample, assay or instrumentation complicate downstream analyses and require correction by domain experts. Here, we present MBI Analysis User Interface (MAUI), a series of graphical user interfaces that facilitate this data pre-processing, including the removal of channel crosstalk, noise and antibody aggregates. Our software streamlines these steps and accelerates processing by enabling real-time and interactive parameter tuning across multiple images.
基于质量的成像（MBI）技术，如飞行时间的多重离子束成像（MIBI-TOF）和成像质谱细胞术（IMC），允许同时测量生物组织中 40 种或更多蛋白质的表达水平，从而深入了解细胞表型和原位组织。由样本、检测或仪器引起的成像伪影会使下游分析变得复杂，需要领域专家进行校正。在这里，我们提出了 MBI 分析用户界面（MAUI），它是一系列图形用户界面，可促进数据预处理，包括去除通道串扰、噪声和抗体聚集。我们的软件通过在多个图像中实时和交互式地调整参数来简化这些步骤并加速处理。
