A high-resolution reverse lens design for cell phone capillaroscopy blood analysis

Marisa M. Morakis; Gregory N. McKay; Nicholas J. Durr

doi:10.1117/12.2610288

2 March 2022 A high-resolution reverse lens design for cell phone capillaroscopy blood analysis

Marisa M. Morakis, Gregory N. McKay, Nicholas J. Durr

Proceedings Volume 11968, Optical Diagnostics and Sensing XXII: Toward Point-of-Care Diagnostics; 1196804 (2022) https://doi.org/10.1117/12.2610288
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

The increasing performance and ubiquity of mobile phone cameras has led to several emerging opportunities for their use in global health and point-of-care diagnostics. High-resolution, low-cost microscopy can be achieved by pairing the cell phone lens with a second, identical lens in a reversed orientation, allowing 1x magnification over a large field of view. In previous work, we showed that reverse lens mobile phone capillaroscopy can visualize optical absorption gaps (OAGs) in nailfold capillaries. The frequency of these OAGs is known to be inversely correlated with degree of neutropenia. To extend this concept and enable the direct visualization of both red and white blood cells for more complete blood analysis, there is a need for improved resolution and phase contrast. Here, we present a design for a reverse lens mobile phone capillaroscope that pairs two different cell phone lenses to increase magnification for enhanced visualization. From an iPhone 12 Pro, the telephoto and wide cameras are combined with reversed wide and ultrawide lenses. The lens pairs provide magnification up to 4.02x and resolution up to approximately 1.49 μm, whereas the previous design only yielded a resolution of 3.75 μm. We use this system to image human blood in a microfluidic capillary phantom.

Conference Presentation

Citation Download Citation

Marisa M. Morakis, Gregory N. McKay, and Nicholas J. Durr "A high-resolution reverse lens design for cell phone capillaroscopy blood analysis", Proc. SPIE 11968, Optical Diagnostics and Sensing XXII: Toward Point-of-Care Diagnostics, 1196804 (2 March 2022); https://doi.org/10.1117/12.2610288

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