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

Authors :
Baranski, Alex
Milo, Idan
Greenbaum, Shirley
Oliveria, John-Paul
Mrdjen, Dunja
Angelo, Michael
Keren, Leeat
Source :
PLoS Computational Biology. 4/19/2021, Vol. 17 Issue 4, p1-16. 16p. 4 Color Photographs, 1 Diagram.
Publication Year :
2021

Abstract

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. 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1553734X
Volume :
17
Issue :
4
Database :
Academic Search Index
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
149887275
Full Text :
https://doi.org/10.1371/journal.pcbi.1008887