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High spatial resolution and large field of view mobile phone-based microscopy with adaptive phone screen illumination (Conference Presentation)
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Paper Abstract

Lens-based imaging approaches are faced with a trade-off between resolution and field-of-view (FOV). Generally, the greater the resolvable detail in a sample, the smaller the FOV we can observe. In our lab, we study the behaviour of microorganisms within confined spaces using microfluidic devices. In order to capture the full scope of their behaviour, we need to be able to discern individual microorganisms as well as observe the full microfluidic device area in real time. As such, visualizing such systems can be challenging, since we require an imaging system that can provide a resolution as high as 1 um, with a FOV large enough to fit our region of interest. To that end, we used the Nokia Lumia 1020 mobile phone, which has a 41.3 megapixel (MP) image sensor with a pixel size of 1.14 um, with an external lens attached to the camera for better focus, and we characterized the imaging system to have a spatial resolution of 1.2 um, with a FOV of 3.6 x 2.7 mm, and a working distance of 0.6 mm. Moreover, we used the screen of a Retina display Apple device as a versatile illumination source for this system. The screen is used to project various illumination patterns onto the specimen being imaged, each corresponding to a different illumination mode, with the Nokia phone capturing the resulting image. We tested our system by using it to image microorganisms such as Escherichia coli and Euglena gracilis within our microfluidic devices.

Paper Details

Date Published: 13 March 2019
Proc. SPIE 10881, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII, 108810M (13 March 2019); doi: 10.1117/12.2510106
Show Author Affiliations
Sara Kheireddine, McGill Univ. (Canada)
Ayyappasamy Sudalaiyadum Perumal, McGill Univ. (Canada)
Dan V. Nicolau, McGill Univ. (Canada)
Sebastian Wachsmann-Hogiu, McGill Univ. (Canada)

Published in SPIE Proceedings Vol. 10881:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII
Daniel L. Farkas; Attila Tarnok; James F. Leary, Editor(s)

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