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 a lackluster transition of smartphones within clinical care, where the reproducibility of measurements across devices and the inability to perform image analysis within the device has hampered development. Here, we present characterization methodologies and imaging techniques, enabled by an open-source framework, for performing quantitative imaging and analysis within the iOS smartphone environment. We explore the need for RAW pixel data within fluorescence imaging and characterize the iPhone 11 to lay the foundation for its use in scientific and point-of-care applications.
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