Dataset for "Robotic microscopy for everyone: the OpenFlexure Microscope"
This dataset contains microscopy images collected to demonstrate imaging capabilities of the OpenFlexure Microscope. Images for bright-field transmission and reflection, polarisation contrast, and fluorescence imaging are provided. A set of images obtained from a large tile scan are provided, along with the Microsoft Image Composite Editor file used for tiling.
Cite this dataset as:
Collins, J.,
Knapper, J.,
Bowman, R.,
2020.
Dataset for "Robotic microscopy for everyone: the OpenFlexure Microscope".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-00734.
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Data
ofm-2019-dataset.zip
application/zip (2GB)
Creative Commons: Attribution 4.0
Creators
Joel Collins
University of Bath
Joe Knapper
University of Bath
Richard Bowman
University of Bath
Documentation
Data collection method:
Images were collected using the OpenFlexure Microscope as documented in the associated mansuscript.
Technical details and requirements:
Images are in JPEG format. The .spj file is a project file for use with Microsoft Image Composite Editor v2.0 (https://www.microsoft.com/en-us/research/product/computational-photography-applications/image-composite-editor/). Python scripts are written for Python v3.6+ and require non-standard libraries matplotlib, Numpy, opencv-python, picamera, PIL, pytest, scipy, and scikit-image, all of which are available from the Python Package Index (https://pypi.org/). The analysis script `run_analysis.sh` requires a global installation of the Python library micat (https://gitlab.com/bath_open_instrumentation_group/micat). It may be executed directly by a UNIX-like shell, but the command invocation it contains may be used on other platforms.
Additional information:
Additional documentation is provided within the ZIP file.
Methodology link:
Documentation Files
README.md
text/plain (1kB)
Creative Commons: Attribution 4.0
Funders
Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266
GCRF - Open Lab Instrumentation
EP/P029426/1
Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266
Detailed Malaria Diagnostics with Intelligent Microscopy
EP/R013969/1
Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266
Automated microscopy for high-throughput malaria research.
EP/R011443/1
Royal Society
https://doi.org/10.13039/501100000288
UR Fellowship - Robotic microscopy for globally accessible science & healthcare
URF\R1\180153
Royal Society
https://doi.org/10.13039/501100000288
Robotic microscopy for globally accessible science and healthcare
RGF\EA\181034
Publication details
Publication date: 23 March 2020
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-00734
URL for this record: https://researchdata.bath.ac.uk/id/eprint/734
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Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Richard Bowman
Faculty of Science
Chemistry
Physics
Research Centres & Institutes
Centre for Nanoscience and Nanotechnology
Centre for Photonics and Photonic Materials
