ToF-SIMS and Machine Learning for Single-Pixel Molecular Discrimination of an Acrylate Polymer Microarray-Reference-Cited by-同舟云学术

ToF-SIMS and Machine Learning for Single-Pixel Molecular Discrimination of an Acrylate Polymer Microarray

Published:2020-04-01 Issue:9 Volume:92 Page:6587-6597
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Gardner Wil¹²³,Hook Andrew L.⁴,Alexander Morgan R.⁴,Ballabio Davide⁵^ORCID,Cutts Suzanne M.²^ORCID,Muir Benjamin W.³^ORCID,Pigram Paul J.¹^ORCID

Affiliation:

1. Centre for Materials and Surface Science and Department of Chemistry and Physics, La Trobe University, Melbourne, Victoria 3086, Australia

2. La Trobe Institute for Molecular Sciences, La Trobe University, Melbourne, Victoria 3086, Australia

3. CSIRO Manufacturing, Clayton, Victoria 3168, Australia

4. Advanced Materials and Healthcare Technologies, School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, U.K.

5. Milano Chemometrics and QSAR Research Group, Department of Earth and Environmental Sciences, University of Milano-Bicocca, P.zza della Scienza 1, 20126 Milano, Italy

Funder

Australian National Fabrication Facility

Wellcome Trust

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.0c00349

Reference44 articles.

1. Atomic and Molecular Imaging at the Single-Cell Level with TOF-SIMS

2. Static time-of-flight secondary ion mass spectrometry imaging of freeze-fractured, frozen-hydrated biological membranes

3. Lipid mapping of colonic mucosa by cluster TOF-SIMS imaging and multivariate analysis in cftr knockout mice

4. Lipid imaging with time-of-flight secondary ion mass spectrometry (ToF-SIMS)

5. Detection of organic nanoparticles in human bone marrow-derived stromal cells using ToF–SIMS and PCA

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