Aidukas, T., Eckert, R., Harvey, A. R. , Waller, L. and Konda, P. C. (2019) Low-cost, sub-micron resolution, wide-field computational microscopy using opensource hardware. Scientific Reports, 9, 7457. (doi: 10.1038/s41598-019-43845-9) (PMID:31092867) (PMCID:PMC6520337)
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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.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Konda, Mr Pavan and Aidukas, Dr Tomas and Harvey, Professor Andy |
| Authors: | Aidukas, T., Eckert, R., Harvey, A. R., Waller, L., and Konda, P. C. |
| College/School: | College of Science and Engineering > School of Physics and Astronomy |
| Journal Name: | Scientific Reports |
| Publisher: | Nature Research |
| ISSN: | 2045-2322 |
| ISSN (Online): | 2045-2322 |
| Copyright Holders: | Copyright © 2019 The Authors |
| First Published: | First published in Scientific Reports 9: 7457 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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