Dataset for "ACute3D: A compact, cost-effective, 3D printed laser autocollimator"
This data archive is for the Acute3D, a 3D printed, open source, laser autocollimator. The hardware design is provided in the form of parametric CAD files to make the autocollimator convenient to customise and integrate into larger instruments. Assembly instructions on building the Acute3D can be found alongside the hardware design. The software that drives the autocollimator is provided in the form of Python scripts to allow immediate use of the device and data replication.
The performance of the autocollimator was characterised through a series of experiments. This archive contains the data and analysis Jupyter notebook for all experiments performed in this project. The code for data collection is embedded in the software. A folder of example frames captured by the autocollimator during operation is also provided.
Cite this dataset as:
Meng, Q.,
Stirling, J.,
Wadsworth, W.,
Bowman, R.,
2022.
Dataset for "ACute3D: A compact, cost-effective, 3D printed laser autocollimator".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-01141.
Export
Data
ACute3D_data.zip
application/zip (40MB)
Creative Commons: Attribution 4.0
Data and analysis Jupyter notebooks for all experiments performed to characterise the performance of the Acute3D. This zip file also contains a folder of frames captured by the autocollimator during operation, and a Python script that reads the EXIF saved in these images.
Code
ACute3D_software.zip
application/zip (106kB)
Software: GNU GPL 3.0
The software that drives the autocollimator, it contains the data collection code for all experiments performed in this project. This zip file also includes a Jupyter notebook that explains the adaptive thresholding algorithm we developed for accurate spot tracking.
ACute3D_hardware.zip
application/zip (35MB)
Hardware: CERN Open Hardware Licence 1.2
The hardware design of the Acute3D provided in the form of parametric CAD files and exported STLs. This zip file also contains the assembly instruction for building an autocollimator.
Creators
Qingxin Meng
University of Bath
Julian Stirling
University of Bath
William Wadsworth
University of Bath
Richard Bowman
University of Bath
Contributors
University of Bath
Rights Holder
Documentation
Data collection method:
The performance of the autocollimator was characterised through a series of experiments. We organised the data and analysis code by experiment and added a README file in each folder. The README file explains the aim of the experiment, equipment used in the setup, method, and the structure of the data. Unless specified, the experiments were carried out in ambient conditions without thermal stabilisation.
Technical details and requirements:
Software environment: Raspberry Pi 3 Python 3 See requirements.txt in ACute3D_software.zip for more details The data files can be viewed using text editors such as Notepad or Python packages such as Pandas
Funders
Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266
Detailed Malaria Diagnostics with Intelligent Microscopy
EP/R013969/1
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
University of Bath
https://doi.org/10.13039/501100000835
Global Challenges Research Fund
https://doi.org/10.13039/100016270
Publication details
Publication date: 13 May 2022
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-01141
URL for this record: https://researchdata.bath.ac.uk/id/eprint/1141
Related papers and books
Meng, Q., Stirling, J., Wadsworth, W. J., and Bowman, R. W., 2022. ACute3D: A Compact, Cost-Effective, 3-D Printed Laser Autocollimator. IEEE Transactions on Instrumentation and Measurement, 71, 1-11. Available from: https://doi.org/10.1109/tim.2022.3174267.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Qingxin Meng
Faculty of Science
Physics
