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Multiplexed Ion Beam Imaging: Insights into Pathobiology

Candace C. Liu, Erin McCaffrey, Noah F. Greenwald, Erin Soon, Tyler Risom, Kausalia Vijayaragavan, John-Paul Oliveria, Dunja Mrdjen, Marc Bossé, Dmitry Tebaykin, Sean C. Bendall, Michael Angelo

2021Annual Review of Pathology Mechanisms of Disease35 citationsDOI

Abstract

Next-generation tools for multiplexed imaging have driven a new wave of innovation in understanding how single-cell function and tissue structure are interrelated. In previous work, we developed multiplexed ion beam imaging by time of flight, a highly multiplexed platform that uses secondary ion mass spectrometry to image dozens of antibodies tagged with metal reporters. As instrument throughput has increased, the breadth and depth of imaging data have increased as well. To extract meaningful information from these data, we have developed tools for cell identification, cell classification, and spatial analysis. In this review, we discuss these tools and provide examples of their application in various contexts, including ductal carcinoma in situ, tuberculosis, and Alzheimer's disease. We hope the synergy between multiplexed imaging and automated image analysis will drive a new era in anatomic pathology and personalized medicine wherein quantitative spatial signatures are used routinely for more accurate diagnosis, prognosis, and therapeutic selection.

Topics & Concepts

Computer scienceMultiplexingMedical imagingComputational biologyIdentification (biology)Artificial intelligenceBiologyTelecommunicationsBotanyMolecular Biology Techniques and ApplicationsSingle-cell and spatial transcriptomicsAdvanced Proteomics Techniques and Applications
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