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Scientific article
Open access
English

Hystorian: A processing tool for scanning probe microscopy and other n-dimensional datasets

Published inUltramicroscopy, vol. 228, no. 113345
Publication date2021
Abstract

Research in materials science increasingly depends on the correlation of information from multiple characterisation techniques, acquired in ever larger datasets. Efficient methods of processing and storing these complexdatasets are therefore crucial. Reliably keeping track of data processing is also essential to conform with the goals of open science. Here, we introduce Hystorian, a generic materials science data analysis Python package built at its core to improve the traceability, reproducibility, and archival ability of data processing. Proprietary data formats are converted into open hierarchical data format (HDF5) files, with both datasets and subsequent workflows automatically stored into a single location, thus allowing easy management of multiple data types.At present, Hystorian provides a basic scanning probe microscopy and x-ray diffraction analysis toolkit, and is readily extensible to suit user needs. It is also able to wrap over any existing processing functions, making it easy to append in an extant workflow.

Keywords
  • Data processing
  • Scanning probe microscopy
  • Piezoresponse force microscopy
  • Image registration
  • Big data
Research group
Citation (ISO format)
MUSY, Loïc et al. Hystorian: A processing tool for scanning probe microscopy and other n-dimensional datasets. In: Ultramicroscopy, 2021, vol. 228, n° 113345. doi: 10.1016/j.ultramic.2021.113345
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ISSN of the journal0304-3991
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Technical informations

Creation06/29/2021 11:36:00 AM
First validation06/29/2021 11:36:00 AM
Update time03/16/2023 12:49:49 AM
Status update03/16/2023 12:49:49 AM
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