

In this paper a Python based pipeline encompassing steps necessary for automatic processing and plotting nanoindentation data is presented. It enables to process and plot big amount of created raw data from Agilent Nanoindenter G200 and thus significantly increases knowledge discovery from such data. The described solution is demonstrated on example of 100 measurements on a polymer sample. © 2022 IEEE.
| Engineering controlled terms: | High level languagesNanoindentationPipeline processing systemsPipelinesPrisms |
|---|---|
| Engineering uncontrolled terms | AgilentAutomatic plottingAutomatic processingAverageData plottingGraphpad prismNano indentationNanoindentersPlottingPolymer samples |
| Engineering main heading: | Python |
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| Horizon 2020 Framework Programme See opportunities by H2020 | 951747 | H2020 |
ACKNOWLEDGMENT This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 951747.
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