'2D Spatially-Resolved Depth-Section Microfluidic Flow Velocimetry Using Dual Beam OCT'
Date published
2020-04-27 15:33
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Cranfield University
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Citation
Hallam, Jonathan; Tatam, Ralph; Rigas, Evangelos; Charrett, Tom (2020). 2D Spatially-Resolved Depth-Section Microfluidic Flow Velocimetry Using Dual Beam OCT. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.11522517
Abstract
'Data and associated figures and supplementary materials for '2D Spatially-Resolved Depth-Section Microfluidic Flow Velocimetry Using Dual Beam OCT' published in Micromachines special edition 4th Conference on Microfluidic Handling Systems 2-4th October 2019. Update: 27/04/2020. Added 'requirements.txt' listing exact python packages required and clarified 'readme.txt'.'
Description
Software Description
Software Language
Github
Keywords
Optical Coherence Tomography', 'OCT', 'Interferometry', 'microfluidics', 'flow measurement', 'particle image velocimetry', 'PIV', 'Biomedical Instrumentation', 'Engineering Instrumentation', 'Flow Analysis', 'Microtechnology', 'Photodetectors, Optical Sensors and Solar Cells'
DOI
10.17862/cranfield.rd.11522517
Rights
CC BY 4.0
Funder/s
EP/L014637/1