4.6 Article

MAUI (MBI Analysis User Interface)-An image processing pipeline for Multiplexed Mass Based Imaging

期刊

PLOS COMPUTATIONAL BIOLOGY
卷 17, 期 4, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pcbi.1008887

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资金

  1. European Union [890733]
  2. Bill and Melinda Gates Foundation [OPP1113682]
  3. Canadian Institutes of Health Research (CIHR) Postdoctoral Fellowship
  4. Banting Postdoctoral Fellowship
  5. Swiss National Science Foundation Early Postdoc Mobility Fellowship [P2ZHP3_181563]
  6. Novartis Postdoctoral Fellowship [18B067]
  7. Azrieli Foundation
  8. Enoch Foundation Research Fund
  9. European Research Council Horizon 2020 starting grant [948811]
  10. Damon Runyon-Dale F. Frey Award [131248]
  11. Israel Science Foundation [2481/20]
  12. Israeli Council for Higher Education (CHE) via the Weizmann Data Science Research Center
  13. Department of Defence [W81XWH2110143]
  14. National Institute of Health [1-DP5OD019822, 5R01CA22952903, 1U24CA22430901, 5U54CA20997105, 1R01AG056287, 1R01AG057915, 1U24CA224309]
  15. Bill and Melinda Gates Foundation
  16. European Research Council (ERC) [948811] Funding Source: European Research Council (ERC)
  17. Swiss National Science Foundation (SNF) [P2ZHP3_181563] Funding Source: Swiss National Science Foundation (SNF)

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MAUI is a series of graphical user interfaces designed to streamline data preprocessing steps, including the removal of crosstalk, noise, and antibody aggregates, to accelerate and automate processing. It enables real-time and interactive parameter tuning, providing high-quality and reproducible data input for downstream analyses.
Author summary High-dimensional Imaging technologies allow to simultaneously measure the expression levels of dozens of proteins in biological tissue, providing insight into single-cell phenotypes and organiza-tion in situ. Imaging artifacts, resulting from the sample, assay or instrumentation complicate downstream analyses and require correction by domain experts. Here, we present MAUI, a series of graphical user interfaces that facilitate this data pre-processing, including the removal of chan-nel crosstalk, noise and antibody aggregates. MAUI accelerates and automates these steps, such that reproducible, high-quality data will be the input for subsequent stages of analysis. 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.

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