An automated lateral flow assay identification framework: Exploring the challenges of a wearable lateral flow assay in mobile application

作者：

Highlights：

• Colorimetric readout of lateral flow immunoassay (LFA) faces myriad of challenges.

• Environmental challenges of image processing of LFA are identified.

• A novel image processing framework for sensor detection is proposed.

• The automated detection framework accurately identifies the sensor and biomarkers.

• An anti-reflection strategy is proposed for recognition enhancement.

摘要

•Colorimetric readout of lateral flow immunoassay (LFA) faces myriad of challenges.•Environmental challenges of image processing of LFA are identified.•A novel image processing framework for sensor detection is proposed.•The automated detection framework accurately identifies the sensor and biomarkers.•An anti-reflection strategy is proposed for recognition enhancement.

论文关键词：Lateral flow assay,Image processing,Mobile application,Object detection,Colorimetric test,LFA challenges

论文评审过程：Received 28 December 2021, Revised 25 July 2022, Accepted 5 August 2022, Available online 12 August 2022, Version of Record 19 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118471