On Topological Analysis of fs-LIMS Data. Implications for in Situ Planetary Mass Spectrometry

In this contribution, we present results of non-linear dimensionality reduction and classification of the fs laser ablation ionization mass spectrometry (LIMS) imaging dataset acquired from the Precambrian Gunflint chert (1.88 Ga) using a miniature time-of-flight mass spectrometer developed for in s...

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Main Authors: Rustam A. Lukmanov, Andreas Riedo, David Wacey, Niels F. W. Ligterink, Valentine Grimaudo, Marek Tulej, Coenraad de Koning, Anna Neubeck, Peter Wurz
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2021.668163/full
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author Rustam A. Lukmanov
Andreas Riedo
David Wacey
Niels F. W. Ligterink
Valentine Grimaudo
Marek Tulej
Coenraad de Koning
Anna Neubeck
Peter Wurz
author_facet Rustam A. Lukmanov
Andreas Riedo
David Wacey
Niels F. W. Ligterink
Valentine Grimaudo
Marek Tulej
Coenraad de Koning
Anna Neubeck
Peter Wurz
author_sort Rustam A. Lukmanov
collection DOAJ
description In this contribution, we present results of non-linear dimensionality reduction and classification of the fs laser ablation ionization mass spectrometry (LIMS) imaging dataset acquired from the Precambrian Gunflint chert (1.88 Ga) using a miniature time-of-flight mass spectrometer developed for in situ space applications. We discuss the data generation, processing, and analysis pipeline for the classification of the recorded fs-LIMS mass spectra. Further, we define topological biosignatures identified for Precambrian Gunflint microfossils by projecting the recorded fs-LIMS intensity space into low dimensions. Two distinct subtypes of microfossil-related spectra, a layer of organic contamination and inorganic quartz matrix were identified using the fs-LIMS data. The topological analysis applied to the fs-LIMS data allows to gain additional knowledge from large datasets, formulate hypotheses and quickly generate insights from spectral data. Our contribution illustrates the utility of applying spatially resolved mass spectrometry in combination with topology-based analytics in detecting signatures of early (primitive) life. Our results indicate that fs-LIMS, in combination with topological methods, provides a powerful analytical framework and could be applied to the study of other complex mineralogical samples.
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spelling doaj.art-9c8f6c7e2d13443d8cffaddbcd547ea22022-12-21T22:10:32ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122021-08-01410.3389/frai.2021.668163668163On Topological Analysis of fs-LIMS Data. Implications for in Situ Planetary Mass SpectrometryRustam A. Lukmanov0Andreas Riedo1David Wacey2Niels F. W. Ligterink3Valentine Grimaudo4Marek Tulej5Coenraad de Koning6Anna Neubeck7Peter Wurz8Space Research and Planetary Sciences (WP), University of Bern, Bern, SwitzerlandSpace Research and Planetary Sciences (WP), University of Bern, Bern, SwitzerlandCentre for Microscopy, Characterisation and Analysis, The University of Western Australia, Perth, WA, AustraliaSpace Research and Planetary Sciences (WP), University of Bern, Bern, SwitzerlandSpace Research and Planetary Sciences (WP), University of Bern, Bern, SwitzerlandSpace Research and Planetary Sciences (WP), University of Bern, Bern, SwitzerlandSpace Research and Planetary Sciences (WP), University of Bern, Bern, SwitzerlandDepartment of Earth Sciences, Uppsala University, Uppsala, SwedenSpace Research and Planetary Sciences (WP), University of Bern, Bern, SwitzerlandIn this contribution, we present results of non-linear dimensionality reduction and classification of the fs laser ablation ionization mass spectrometry (LIMS) imaging dataset acquired from the Precambrian Gunflint chert (1.88 Ga) using a miniature time-of-flight mass spectrometer developed for in situ space applications. We discuss the data generation, processing, and analysis pipeline for the classification of the recorded fs-LIMS mass spectra. Further, we define topological biosignatures identified for Precambrian Gunflint microfossils by projecting the recorded fs-LIMS intensity space into low dimensions. Two distinct subtypes of microfossil-related spectra, a layer of organic contamination and inorganic quartz matrix were identified using the fs-LIMS data. The topological analysis applied to the fs-LIMS data allows to gain additional knowledge from large datasets, formulate hypotheses and quickly generate insights from spectral data. Our contribution illustrates the utility of applying spatially resolved mass spectrometry in combination with topology-based analytics in detecting signatures of early (primitive) life. Our results indicate that fs-LIMS, in combination with topological methods, provides a powerful analytical framework and could be applied to the study of other complex mineralogical samples.https://www.frontiersin.org/articles/10.3389/frai.2021.668163/fullfs-LIMSmass-spectrometryUMAP (uniform manifold approximation and projection)mappermicrofossilsmars
spellingShingle Rustam A. Lukmanov
Andreas Riedo
David Wacey
Niels F. W. Ligterink
Valentine Grimaudo
Marek Tulej
Coenraad de Koning
Anna Neubeck
Peter Wurz
On Topological Analysis of fs-LIMS Data. Implications for in Situ Planetary Mass Spectrometry
Frontiers in Artificial Intelligence
fs-LIMS
mass-spectrometry
UMAP (uniform manifold approximation and projection)
mapper
microfossils
mars
title On Topological Analysis of fs-LIMS Data. Implications for in Situ Planetary Mass Spectrometry
title_full On Topological Analysis of fs-LIMS Data. Implications for in Situ Planetary Mass Spectrometry
title_fullStr On Topological Analysis of fs-LIMS Data. Implications for in Situ Planetary Mass Spectrometry
title_full_unstemmed On Topological Analysis of fs-LIMS Data. Implications for in Situ Planetary Mass Spectrometry
title_short On Topological Analysis of fs-LIMS Data. Implications for in Situ Planetary Mass Spectrometry
title_sort on topological analysis of fs lims data implications for in situ planetary mass spectrometry
topic fs-LIMS
mass-spectrometry
UMAP (uniform manifold approximation and projection)
mapper
microfossils
mars
url https://www.frontiersin.org/articles/10.3389/frai.2021.668163/full
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