Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry

By Charlotte Giesen, Hao A. O. Wang, D. Schapiro, Nevena Zivanovic, Andrea Jacobs, B. Hattendorf, Peter J. Schüffler, D. Grolimund, Joachim M. Buhmann, S. Brandt and 4 more. Nature Methods, 2014

1,718 citations recorded by the source corpus.

Subfields: Biophysics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/30d06a109c55dacfd84028bf466ca3884c384392

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Citations in the corpus

The Where, the When, and the How of Immune Monitoring for Cancer Immunotherapies in the Era of Checkpoint Inhibition (2016, background): “Mass cytometry (69) is emerging as a technology that may allow an even more granular characterization of immune cell subsets, but is currently still limited in its applicability.”
The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution (2020, neutral): “Recent advances in single-cell and multiplexed spatial analysis of tissue allow us to interrogate this complexity at unprecedented resolution (Angelo et al., 2014; Buenrostro et al., 2015; Chen et al., 2016a; Chen et al., 2016b; Du et al., 2019; Gaublomme et al., 2019; Gierahn et al., 2017; Giesen e”
A Structured Tumor-Immune Microenvironment in Triple Negative Breast Cancer Revealed by Multiplexed Ion Beam Imaging (2018, neutral): “This disparity between our conceptual understanding of the tumor ecosystem and the experimental tools at our disposal has driven the recent developments of multiplexed imaging modalities (Chen et al., 2015; Coskun and Cai, 2016; Giesen et al., 2014; Huang et al., 2013; Lee et al., 2014).”
Simple, scalable proteomic imaging for high-dimensional profiling of intact systems (2015, positive): “Recent advances in imaging mass spectrometry combined with immunohistochemistry (IHC) have significantly improved resolution (Angelo et al., 2014; Giesen et al., 2014), which was limited in MALDI-MS and LA-ICP-MS.”
Systems Biology of Cancer Metastasis (2019, methodology): “Highly multiplexed imaging cytometry: Spatially resolved histological analysis with CyTof(Giesen et al., 2014). iii.”
Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes (2018, methodology): “A variety of methods for performing highly multiplexed immune-based imaging of cells and tissues has recently been described including imaging cytometry (Giesen et al., 2014), MIBI (Angelo et al.”
Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning (2021, methodology): “Developing this algorithm required two innovations: (1) a scalable approach for generating large volumes of pixel-level training data and (2) an integrated deep learning pipeline that uses these data to achieve humanlevel performance.”