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

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.

College / School: College of Science and Engineering > School of Physics and Astronomy
Date Deposited: 08 Feb 2019 13:39
Funder's Name: Engineering and Physical Sciences Research Council (EPSRC)
URI: http://researchdata.gla.ac.uk/id/eprint/687

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Aidukas, T., Eckert, R., Harvey, A., Waller, L. and Konda, P. (2019); Low-cost, sub-micron resolution, wide-field computational microscopy using opensource hardware

University of Glasgow

DOI: 10.5525/gla.researchdata.687

Retrieved: 2019-09-21