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Imaging systems and algorithms to analyze biological samples in real-time using mobile phone microscopy

Miniaturized imaging devices have pushed the boundaries of point-of-care imaging, but existing mobile-phone-based imaging systems do not exploit the full potential of smart phones. This work demonstrates the use of simple imaging configurations to deliver superior image quality and the ability to ha...

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Detalles Bibliográficos
Autores principales: Shanmugam, Akshaya, Usmani, Mohammad, Mayberry, Addison, Perkins, David L., Holcomb, Daniel E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839566/
https://www.ncbi.nlm.nih.gov/pubmed/29509786
http://dx.doi.org/10.1371/journal.pone.0193797
Descripción
Sumario:Miniaturized imaging devices have pushed the boundaries of point-of-care imaging, but existing mobile-phone-based imaging systems do not exploit the full potential of smart phones. This work demonstrates the use of simple imaging configurations to deliver superior image quality and the ability to handle a wide range of biological samples. Results presented in this work are from analysis of fluorescent beads under fluorescence imaging, as well as helminth eggs and freshwater mussel larvae under white light imaging. To demonstrate versatility of the systems, real time analysis and post-processing results of the sample count and sample size are presented in both still images and videos of flowing samples.