Multimodal Imaging and Lighting Bias Correction for Improved μPAD-based Water Quality Monitoring via Smartphones

Smartphone image-based sensing of microfluidic paper analytical devices (μPADs) offers low-cost and mobile evaluation of water quality. However, consistent quantification is a challenge due to variable environmental, paper, and lighting conditions, especially across large multi-target μPADs. Compens...

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Detalles Bibliográficos
Autores principales: McCracken, Katherine E., Angus, Scott V., Reynolds, Kelly A., Yoon, Jeong-Yeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4901345/
https://www.ncbi.nlm.nih.gov/pubmed/27283336
http://dx.doi.org/10.1038/srep27529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4901345/
https://www.ncbi.nlm.nih.gov/pubmed/27283336
http://dx.doi.org/10.1038/srep27529

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