Abstract
High parameter imaging is an important tool in the life sciences for both discovery and healthcare applications. Imaging Mass Cytometry (IMC) and Multiplexed Ion Beam Imaging (MIBI) are two relatively recent technologies which enable clinical samples to be simultaneously analyzed for up to 40 parameters at subcellular resolution. Importantly, these “Mass Cytometry Imaging” (MCI) modalities are being rapidly adopted for studies of the immune system in both health and disease. In this review we discuss, first, the various applications of MCI to date. Second, due to the inherent challenge of analyzing high parameter spatial data, we discuss the various approaches that have been employed for the processing and analysis of data from MCI experiments.
Highlights
Multiplexed imaging methods are becoming an increasingly important tool for both basic science and clinical research [1,2,3,4,5,6,7,8,9,10]
In this review we have outlined the various applications of Mass Cytometry Imaging for studying the immune system in health and disease in situ
mass cytometry imaging (MCI) is a more recent addition to the repertoire of tools for high parameter imaging. Despite its recency it has already been adopted in diverse contexts ranging from oncology to autoimmunity where it has shown promise for predicting clinical outcome and understanding the role of the immune system in disease progression
Summary
Multiplexed imaging methods are becoming an increasingly important tool for both basic science and clinical research [1,2,3,4,5,6,7,8,9,10]. A recent pre-print from the Nolan lab has described an expansion of MIBI capable of super-resolution 3D imaging (discussed further below) [51] This technology was used to map the intracellular distribution of cisplatin in an ovarian cancer cell line. These MCI modalities offer complementary approaches to studying the effects of cisplatin on both tumor and normal host cells This will be useful for the development of therapeutic interventions targeting the kidney and cochlea tissues where cisplatin accumulation often leads to loss of kidney function [66] and hearing, respectively [67, 68]. This study provides a framework for the analysis of MCI data which is discussed throughout the section below on “Image Processing and Analysis.” Through the innovative use of spatial analysis techniques, the authors found that patients could be stratified
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