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Smartphone App to Help Assess Anemia by Taking Picture of a Person's Eyelid

By Purdue University News

May 27, 2020

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Purdue University engineers have developed software that would allow medical staff to obtain a patient’s hemoglobin count in real time by capturing an image of the patient's inner eyelid with a smartphone.

Purdue's Young Kim and colleagues created an algorithm that uses super-resolution spectroscopy to render low-resolution smartphone photos as high-resolution digital spectral signals, and another algorithm to identify and use these signals to measure blood hemoglobin content.

Unlike spectroscopic analysis, a smartphone app would not require additional hardware to perform the same function.

Kim said the technology “won’t replace a conventional blood test, but it gives a comparable hemoglobin count right away and is noninvasive and real-time.”

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