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bioRxiv · 10.1101/460055

Low-cost, sub-micron resolution, wide-field computational microscopy using opensource hardware

Aidukas, T.·Eckert, R.·Harvey, A. R.·Waller, L.·Konda, P. C.
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Abstract

The revolution in low-cost consumer photography and computation provides fertile opportunity for a disruptive reduction in the cost of biomedical imaging. Conventional approaches to low-cost microscopy are fundamentally restricted, however, to modest field of view (FOV) and/or resolution. We report a low-cost microscopy technique, implemented with a Raspberry Pi single-board computer and color camera combined with Fourier ptychography (FP), to computationally construct 25-megapixel images with sub-micron resolution. New image-construction techniques were developed to enable the use of the low-cost Bayer color sensor, to compensate for the highly aberrated re-used camera lens and to compensate for misalignments associated with the 3D-printed microscope structure. This high ratio of performance to cost is of particular interest to high-throughput microscopy applications, ranging from drug discovery and digital pathology to health screening in low-income countries. 3D models and assembly instructions of our microscope are made available for open source use.

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Aidukas, T., Eckert, R., Harvey, A. R., Waller, L., Konda, P. C.. 2018-11-02. Low-cost, sub-micron resolution, wide-field computational microscopy using opensource hardware. https://doi.org/10.1101/460055

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