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Extremely Sensitive Fluorescence Lateral Flow Reader Detects Even Low Positives Results

By HospiMedica International staff writers
Posted on 22 Dec 2022
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Image: The iPeak Europium lateral flow reader for fluorescence-labeled lateral flow tests (Photo courtesy of IUL SA)
Image: The iPeak Europium lateral flow reader for fluorescence-labeled lateral flow tests (Photo courtesy of IUL SA)

Lateral flow strip assays have become well known due to their low cost and low time to obtain the results have been an essential tool for massive screening to fight COVID-19. Fluorescence-labeled lateral flow tests have emerged to provide tests with more sensitivity and more affordable, for sub-developed countries or mass-screening, than PCR. Presently, fluorescence lateral flow tests represent an affordable alternative to the PCR tests guaranteeing a high sensitivity and specificity. Now, an off-the-shelf lateral flow reader designed to scan fluorescence-labeled lateral flow tests represents a fundamental advance in this field.

IUL SA’s (Barcelona, Spain) iPeak Europium is a Point of Care (PoC) quantitative, semi-quantitative, qualitative lateral flow reader that ensures precise interpretation of results for both, routine sample testing and research even for the development of lateral flow tests per-se. iPeak Europium measures the fluorescence signal when europium-chelate-based fluorescent nanoparticles of lateral flow tests are excited.

iPeak Europium is equipped with iPeak technology based on the principles of machine vision illumination. Its camera captures the image of the test illuminated from LED lights situated in the most studied geometry to achieve a precise and uniform illumination and enhance the colors of any lateral flow test. With iPeak Europium technology is possible to get more sensitivity and boost the potential of lateral flow tests. iPeak Europium is equipped with Datamatrix reading for complete sample traceability, Wi-Fi, and Ethernet to transfer data to server, LIMS, Cloud, etc. iPeak Europium can store a large number of results, raw and processed images in its internal memory.

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