Aidukas, T., Eckert, R., Harvey, A., Waller, L. and Konda, P. (2019) Low-cost, sub-micron resolution, wide-field computational microscopy using opensource hardware. [Data Collection]
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Collection description
This dataset contains 256 raw Bayer images of USAF target and lung carcinoma samples obtained with red, green and blue LEDs. These images were then stitching with the codes provided into a single wide-field, high-resolution colour image using a computational imaging technique called Fourier Ptychography. Codes are provided together with simulation codes for the Raspberry Pi microscope developed by our group.
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| College / School: | College of Science and Engineering > School of Physics and Astronomy |
| Date Deposited: | 08 Feb 2019 13:39 |
| Statement on legal, ethical and access issues: | This dataset is not available for immediate download due to size restrictions. Please use the Request data button to access the dataset. |
| URI: | https://researchdata.gla.ac.uk/id/eprint/687 |
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