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.”
From Purdue University News
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