Estimation of ELISA results using a parallel curve analysis

Francis Bursa; Ann Yellowlees; Alka Bishop; Angela Beckett; Bassam Hallis; Mary Matheson

doi:10.1016/j.jim.2020.112836

Estimation of ELISA results using a parallel curve analysis

Francis Bursa^*, Ann Yellowlees, Alka Bishop, Angela Beckett, Bassam Hallis, Mary Matheson

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

We introduce a new method for the analysis of enzyme-linked immunosorbent assay (ELISA) data. The new method can use data near the asymptotes and does not give undue weight to responses on the flatter parts of the dose-response curve. We apply it to simulated data and to two real-world assays and show it is more accurate and more precise than the traditional interpolation method. In particular, the new method works much better for very low-concentration samples for which the traditional method is often unable to give a result.

Original language	English
Article number	112836
Journal	Journal of Immunological Methods
Volume	486
DOIs	https://doi.org/10.1016/j.jim.2020.112836
Publication status	Published - Nov 2020

Bibliographical note

Publisher Copyright:
© 2020 Elsevier B.V.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

Concentration estimation
ELISA
ELISA statistics
Immunoassay

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10.1016/j.jim.2020.112836

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T1 - Estimation of ELISA results using a parallel curve analysis

AU - Bursa, Francis

AU - Yellowlees, Ann

AU - Bishop, Alka

AU - Beckett, Angela

AU - Hallis, Bassam

AU - Matheson, Mary

PY - 2020/11

Y1 - 2020/11

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AB - We introduce a new method for the analysis of enzyme-linked immunosorbent assay (ELISA) data. The new method can use data near the asymptotes and does not give undue weight to responses on the flatter parts of the dose-response curve. We apply it to simulated data and to two real-world assays and show it is more accurate and more precise than the traditional interpolation method. In particular, the new method works much better for very low-concentration samples for which the traditional method is often unable to give a result.

KW - Concentration estimation

KW - ELISA

KW - ELISA statistics

KW - Immunoassay

UR - http://www.scopus.com/inward/record.url?scp=85089901381&partnerID=8YFLogxK

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VL - 486

JO - Journal of Immunological Methods

JF - Journal of Immunological Methods

SN - 0022-1759

M1 - 112836

ER -

Estimation of ELISA results using a parallel curve analysis

Abstract

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Keywords

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