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5 March 2021 Open-source smartphone platform for quantitative imaging and analysis in point-of-care applications
Alberto J. Ruiz, Richard Allen, Ethan P. M. LaRochelle, Kimberley S Samkoe, Brian W. Pogue
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Proceedings Volume 11632, Optics and Biophotonics in Low-Resource Settings VII; 116320J (2021) https://doi.org/10.1117/12.2583193
Event: SPIE BiOS, 2021, Online Only
Abstract
The development of smartphones over the last decade has led to a growth in interest of their potential to tackle numerous point-of-care diagnostic and treatment assessment applications. Despite this interest, there has been lackluster transition of smartphones within clinical care, where the reproducibility of measurements across devices and inability to perform image analysis within the device has hampered development. Here, we present an open-source platform for performing quantitative imaging and analysis within the iOS smartphone environment. We explore the need for RAW pixel data within quantitative applications and characterize the iPhone 11 to lay the foundation for its use in scientific and point-of-care imaging applications.
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Alberto J. Ruiz, Richard Allen, Ethan P. M. LaRochelle, Kimberley S Samkoe, and Brian W. Pogue "Open-source smartphone platform for quantitative imaging and analysis in point-of-care applications", Proc. SPIE 11632, Optics and Biophotonics in Low-Resource Settings VII, 116320J (5 March 2021); https://doi.org/10.1117/12.2583193
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KEYWORDS
Point-of-care devices
Imaging devices
Information operations
Measurement devices
Heart
Image analysis
Image processing
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