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multicellular_spheroid.mat (120.04 MB)

Dataset for Analytical Chemistry article: Two-Dimensional and Three-Dimensional Time-of-Flight Secondary 2 Ion Mass Spectrometry Image Feature Extraction Using a Spatially 3 Aware Convolutional Autoencoder

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Version 2 2023-12-19, 04:43
Version 1 2022-08-08, 23:36
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posted on 2023-12-19, 04:43 authored by Wil GardnerWil Gardner, David WinklerDavid Winkler, Suzanne CuttsSuzanne Cutts, Steven Torney, Geoffrey Pietersz, Benjamin MuirBenjamin Muir, Paul PigramPaul Pigram

This data set is uploaded as supporting information for the Analytical Chemistry publication, entitled: Two-Dimensional and Three-Dimensional Time-of-Flight Secondary 2 Ion Mass Spectrometry Image Feature Extraction Using a Spatially 3 Aware Convolutional Autoencoder 

Files are as follows: multicellular_spheroid.mat - MATLAB workspace file containing peak-picked ToF-SIMS data (hyperspectral array) for the multicellular tumour spheroid sample. Data has been normalised to total ion count per pixel.

Additional details about the dataset can be found in the published article.

If you use this data set in your work, please cite our work as follows: 

Wil Gardner, David A. Winkler, Suzanne M. Cutts, Steven A. Torney, Geoffrey A. Pietersz, Benjamin W. Muir, and Paul J. Pigram. Analytical Chemistry 2022 94 (22), 7804-7813

DOI: 10.1021/acs.analchem.1c05453 

Funding

This work was also supported by an Office of National Intelligence - National Intelligence and Security Discovery Research Grant (NI210100127) funded by the Australian Government.

This work was performed in part at the Australian National Fabrication Facility (ANFF), a company established under the National Collaborative Research Infrastructure Strategy, through the La Trobe University Centre for Materials and Surface Science.

History

School

  • School of Molecular Sciences
  • School of Computing, Engineering and Mathematical Sciences

Publication Date

2022-01-01

Rights Statement

This deposited under the terms of the Creative Commons Attribution-NonCommercial License. You are free to share — copy and redistribute the material in any medium or format - and to adapt — remix, transform, and build upon the material under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial — You may not use the material for commercial purposes.