Supporting Information and Data for Machine Learning Algorithms Applied to Identify Microbial Species by their Motility

dc.contributor.authorRiekeles, Max
dc.contributor.otherSchirmack, Janosch
dc.contributor.otherSchulze-Makuch, Dirk
dc.date.accessioned2021-01-12T08:55:07Z
dc.date.available2021-01-12T08:55:07Z
dc.date.issued2020
dc.description.abstractFuture missions to potentially habitable places in the Solar System require biochemistry-independent methods for detecting potentially alien life forms, for which ‘motility’ is an excellent candidate. Here we present a semi-automated experimental setup, capable of distinguishing the movement of abiotic particles due to Brownian motion from the motility behavior of the bacteria Pseudoalteromonas haloplanktis, Planococcus halocryophilus, Bacillus subtilis, and Escherichia coli. Supervised machine learning algorithms were also used to specifically identify these species based on their characteristic motility behavior. While we were able to distinguish microbial motility from the abiotic movements due to Brownian motion with an accuracy exceeding 99%, the accuracy of the automated identification rates of the selected species does not exceed 82%. This study serves as the basis for the further development of a microscopic life recognition system for upcoming missions to Mars or the ocean worlds of the outer Solar System.en
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/11750.3
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-10638.3
dc.language.isoenen
dc.relation.issupplementtohttp://dx.doi.org/10.14279/depositonce-11415en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc500 Naturwissenschaften und Mathematiken
dc.subject.ddc005 Computerprogrammierung, Programme, Datenen
dc.subject.othermachine learning algorithmsen
dc.subject.othermicrobial motilityen
dc.subject.othermotilityen
dc.subject.othermicroorganismsen
dc.subject.othermicroscopic lifeen
dc.subject.otherrecognition systemen
dc.subject.otheralgorithmen
dc.subject.otherBrownian motionen
dc.titleSupporting Information and Data for Machine Learning Algorithms Applied to Identify Microbial Species by their Motilityen
dc.typeGeneric Research Dataen
tub.accessrights.dnbfree*
tub.affiliationFak. 2 Mathematik und Naturwissenschaften::Zentrum für Astronomie und Astrophysikde
tub.affiliation.facultyFak. 2 Mathematik und Naturwissenschaftende
tub.affiliation.instituteZentrum für Astronomie und Astrophysikde

Files

Original bundle
Now showing 1 - 15 of 15
No Thumbnail Available
Name:
ds01.xlsx
Size:
563.94 KB
Format:
Unknown data format
Description:
No Thumbnail Available
Name:
ds02.xlsx
Size:
29.25 KB
Format:
Unknown data format
Description:
No Thumbnail Available
Name:
ds03.xlsx
Size:
29.78 KB
Format:
Unknown data format
Description:
No Thumbnail Available
Name:
ds05.py
Size:
2.97 KB
Format:
Unknown data format
Description:
No Thumbnail Available
Name:
ds07.py
Size:
3.05 KB
Format:
Unknown data format
Description:
No Thumbnail Available
Name:
ds08.py
Size:
3.05 KB
Format:
Unknown data format
Description:
No Thumbnail Available
Name:
ds10.py
Size:
3.14 KB
Format:
Unknown data format
Description:
No Thumbnail Available
Name:
ds12.m
Size:
2.34 KB
Format:
Unknown data format
Description:
No Thumbnail Available
Name:
ds13.xlsx
Size:
230.01 KB
Format:
Unknown data format
Description:
No Thumbnail Available
Name:
ds14.xlsx
Size:
217.61 KB
Format:
Unknown data format
Description:
No Thumbnail Available
Name:
ds11.m
Size:
2.17 KB
Format:
Unknown data format
Description:
No Thumbnail Available
Name:
ds04.csv
Size:
47.18 KB
Format:
Comma-separated values
Description:
No Thumbnail Available
Name:
ds06.py
Size:
3.14 KB
Format:
Unknown data format
Description:
No Thumbnail Available
Name:
ds09.py
Size:
3.04 KB
Format:
Unknown data format
Description:
Loading…
Thumbnail Image
Name:
Supporting Information for Machine Learning Algorithms Applied to Identify Microbial Species by their Motility_processed.pdf
Size:
763.52 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections

Version History

Now showing 1 - 4 of 4
VersionDateSummary
2024-02-20 19:53:56
update
2021-01-11 14:28:21
Reviewer comments of Life journal.
2020-12-14 11:50:59
The paper is submitted to another journal.
2020-10-13 09:09:26