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


Journal

PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922

Informations de publication

Date de publication:
04 2021
Historique:
received: 29 06 2020
accepted: 17 03 2021
revised: 29 04 2021
pubmed: 20 4 2021
medline: 15 9 2021
entrez: 19 4 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33872301
doi: 10.1371/journal.pcbi.1008887
pii: PCOMPBIOL-D-20-01128
pmc: PMC8084329
doi:

Substances chimiques

Proteins 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1008887

Subventions

Organisme : NIH HHS
ID : DP5 OD019822
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG056287
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG057915
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA224309
Pays : United States
Organisme : CIHR
Pays : Canada

Déclaration de conflit d'intérêts

I have read the journal’s policy and the authors of this manuscript have the following competing interests: MA is a consultant and shareholder in IonPath.

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Auteurs

Alex Baranski (A)

School of Medicine, Department of Pathology, Stanford University, Stanford, California, United States of America.

Idan Milo (I)

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.

Shirley Greenbaum (S)

School of Medicine, Department of Pathology, Stanford University, Stanford, California, United States of America.

John-Paul Oliveria (JP)

School of Medicine, Department of Pathology, Stanford University, Stanford, California, United States of America.
Department of Medicine, Division of Respirology, McMaster University, Hamilton, Ontario, Canada.

Dunja Mrdjen (D)

School of Medicine, Department of Pathology, Stanford University, Stanford, California, United States of America.

Michael Angelo (M)

School of Medicine, Department of Pathology, Stanford University, Stanford, California, United States of America.

Leeat Keren (L)

School of Medicine, Department of Pathology, Stanford University, Stanford, California, United States of America.
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.

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Classifications MeSH