Data

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

La Trobe University
Benjamin Muir (Aggregated by) David Winkler (Aggregated by) Geoffrey Pietersz (Aggregated by) Paul Pigram (Aggregated by) Steven Torney (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26181/19679490.v2&rft.title=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&rft.identifier=10.26181/19679490.v2&rft.publisher=La Trobe University&rft.description=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), 7804-7813DOI: 10.1021/acs.analchem.1c05453 &rft.creator=Benjamin Muir&rft.creator=David Winkler&rft.creator=Geoffrey Pietersz&rft.creator=Paul Pigram&rft.creator=Steven Torney&rft.creator=Suzanne Cutts&rft.creator=Wil Gardner&rft.date=2023&rft_rights= https://creativecommons.org/licenses/by-nc/4.0/&rft_rights=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.&rft_subject=Chemical sciences&rft_subject=Analytical chemistry&rft_subject=analytical chemistry&rft_subject=convolutional neural network autoencoder&rft_subject=multicellular tumour spheroid&rft_subject=tof-sims&rft_subject=tumour tissue imaging&rft_subject=Physical Sciences not elsewhere classified&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Other view details
Cc By-nc 4.0

https://creativecommons.org/licenses/by-nc/4.0/

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.

Access:

Other

Full description

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 

Issued: 19 12 2023

This dataset is part of a larger collection

Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers