DeepCyTOF: Automated Cell Classification of Mass Cytometry Data by Deep Learning and …
Abstract Mass cytometry or CyTOF is an emerging technology for high-dimensional multi parameter single cell analysis that overcomes many limitations of fluorescence-based flow cytometry. New methods are being published for analyzing CyTOF data attempt to improve automation, scalability, performance, and interpretation of data generated in large studies. However, most current tools are less suitable for routine use where analysis must be standardized, reproducible, interpretable, and comparable. Assigning individual cells into discrete groups of cell types (gating) involves time-consuming sequential manual steps untenable for larger studies. The subjectivity of manual gating introduces variability into the data and impacts reproducibility and comparability of results, particularly in multi-center studies. The FlowCAP consortium aims to boost user confidence in the viability of automated gating methods. We introduce DeepCyTOF, a standardization approach for gating based…
Link to Full Article: DeepCyTOF: Automated Cell Classification of Mass Cytometry Data by Deep Learning and …
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