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Luminex Corporation

4 ARTICLES PUBLISHED IN JoVE

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Biology

Conversion of a Capture ELISA to a Luminex xMAP Assay using a Multiplex Antibody Screening Method
Harold N. Baker 1, Robin Murphy 1, Erica Lopez 1, Carlos Garcia 1,2
1Chemistry Research and Development, Luminex Corporation, 2Global Marketing, Luminex Corporation

An ELISA can be easily converted to a Luminex xMAP assay and, through the benefits of multiplexing, several antibodies can be screened simultaneously to identify an optimum antibody pair, resulting in increased sensitivity and dynamic range, while reducing assay cost.

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Bioengineering

An Automated Method to Perform The In Vitro Micronucleus Assay using Multispectral Imaging Flow Cytometry
Matthew A. Rodrigues 1
1Biology Department, Luminex Corporation

The in vitro micronucleus assay is a well-established method for evaluating genotoxicity and cytotoxicity but scoring the assay using manual microscopy is laborious and suffers from subjectivity and inter-scorer variability. This paper describes the protocol developed to perform a fully automated version of the assay using multispectral imaging flow cytometry.

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Immunology and Infection

A Rapid, Multiplex Dual Reporter IgG and IgM SARS-CoV-2 Neutralization Assay for a Multiplexed Bead-Based Flow Analysis System
Stephen Angeloni 1, Andrew Cameron 2, Nicole D. Pecora 2,3, Sherry Dunbar 1
1Luminex Corporation, 2Departments of Pathology and Laboratory Medicine, Clinical Microbiology, University of Rochester Medical Center, 3Department of Microbiology and Immunology, University of Rochester Medical Center

A flow analysis system for bead-based multiplexed assays which provides a two-reporter readout was used for the development of multiplex serological and antibody neutralization assays that can simultaneously measure neutralizing IgG and IgM antibodies for SARS-CoV-2.

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Bioengineering

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
Matthew A. Rodrigues 1, María Gracia García Mendoza 1, Raymond Kong 1, Alexandra Sutton 1, Haley R. Pugsley 1, Yang Li 1, Brian E. Hall 1, Darin Fogg 1, Lars Ohl 1, Vidya Venkatachalam 1
1Amnis Flow Cytometry, Luminex Corporation

The micronucleus (MN) assay is a well-established test for quantifying DNA damage. However, scoring the assay using conventional techniques such as manual microscopy or feature-based image analysis is laborious and challenging. This paper describes the methodology to develop an artificial intelligence model to score the MN assay using imaging flow cytometry data.

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