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MAUI (MBI Analysis User Interface)-An image processing pipeline for Multiplexed Mass Based Imaging.
Baranski, Alex; Milo, Idan; Greenbaum, Shirley; Oliveria, John-Paul; Mrdjen, Dunja; Angelo, Michael; Keren, Leeat.
Affiliation
  • Baranski A; School of Medicine, Department of Pathology, Stanford University, Stanford, California, United States of America.
  • Milo I; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
  • Greenbaum S; School of Medicine, Department of Pathology, Stanford University, Stanford, California, United States of America.
  • Oliveria JP; School of Medicine, Department of Pathology, Stanford University, Stanford, California, United States of America.
  • Mrdjen D; Department of Medicine, Division of Respirology, McMaster University, Hamilton, Ontario, Canada.
  • Angelo M; School of Medicine, Department of Pathology, Stanford University, Stanford, California, United States of America.
  • Keren L; School of Medicine, Department of Pathology, Stanford University, Stanford, California, United States of America.
PLoS Comput Biol ; 17(4): e1008887, 2021 04.
Article in En | MEDLINE | ID: mdl-33872301
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / User-Computer Interface / Proteins / Single-Cell Analysis Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / User-Computer Interface / Proteins / Single-Cell Analysis Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States