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

687 17 2346 2 12121 document 2346 README_687.txt text/plain 329807fe5450716ea8bc47dac9c56da8 MD5 1264 2018-11-01 10:24:23 https://researchdata.gla.ac.uk/687/1/README_687.txt 687 1 1 text/plain Text en public cc_by_4

README_687.txt

readme 2347 1 12125 document 2347 indexcodes.txt text/plain 3f558d4a7cfe016e81d4bdf0f9dc1859 MD5 713 2018-11-01 10:34:29 https://researchdata.gla.ac.uk/687/2/indexcodes.txt 687 2 2 text/plain other Generate index codes conversion from Text to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://researchdata.gla.ac.uk/id/document/2346 http://eprints.org/relation/isVolatileVersionOf https://researchdata.gla.ac.uk/id/document/2346 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.gla.ac.uk/id/document/2346 archive 6975 disk0/00/00/06/87 2019-02-08 13:39:13 2025-09-02 08:21:29 2019-02-08 13:39:13 data_collection show Aidukas Tomas 45567 Eckert Regina University of California, Berkeley Harvey Andrew 17355 Waller Laura University of California, Berkeley Konda Pavan 34061 0000-0001-7119-1949 glaresearchdata:2019-02-07-687 Low-cost, sub-micron resolution, wide-field computational microscopy using opensource hardware pub 30600000 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. 2019-02-07 published University of Glasgow 10.5525/gla.researchdata.687 Code Other University of Glasgow 63638 1 EPSRC Centre for Doctoral Training in Sensing and Measurement Andrew Harvey Engineering and Physical Sciences Research Council (EPSRC) EP/L016753/1 SCHOOL OF PHYSICS & ASTRONOMY TRUE English This dataset is not available for immediate download due to size restrictions. Please use the Request data button to access the dataset. 2017-06 2018-10 https://doi.org/10.1101/460055 preprint 2029-02-07 R FALSE TRUE Low-cost, sub-micron resolution, wide-field computational microscopy using opensource hardware https://eprints.gla.ac.uk/id/eprint/185613