pyPOCQuant — A tool to automatically quantify Point-Of-Care Tests from images


Date

2021-07

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

Lateral flow Point-Of-Care Tests (POCTs) are a valuable tool for rapidly detecting pathogens and the associated immune response in humans and animals. In the context of the SARS-CoV-2 pandemic, they offer rapid on-site diagnostics and can relieve centralized laboratory testing sites, thus freeing resources that can be focused on especially vulnerable groups. However, visual interpretation of the POCT test lines is subjective, error prone and only qualitative. Here we present pyPOCQuant, an open-source tool implemented in Python 3 that can robustly and reproducibly analyze POCTs from digital images and return an unbiased and quantitative measurement of the POCT test lines.

Publication status

published

Editor

Book title

Journal / series

Volume

15

Pages / Article No.

100710

Publisher

Elsevier

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Lateral flow assay (LFA); Lateral flow immunoassay (LFIA); Point of care test (POCT); Test line quantification; Readout zone quantification; Diagnostics; Computer vision; QR code; Rapid testing; Rapid diagnostic tests (RTD)

Organisational unit

03699 - Stelling, Jörg / Stelling, Jörg check_circle

Notes

Funding

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