Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

DiversityScanner: Robotic discovery of small invertebrates with machine learning methods

Lorenz Wührl, View ORCID ProfileChristian Pylatiuk, Matthias Giersch, Florian Lapp, Thomas von Rintelen, Michael Balke, Stefan Schmidt, Pierfilippo Cerretti, Rudolf Meier
doi: https://doi.org/10.1101/2021.05.17.444523
Lorenz Wührl
1Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christian Pylatiuk
1Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Christian Pylatiuk
  • For correspondence: pylatiuk@kit.edu Rudolf.Meier@mfn.berlin
Matthias Giersch
1Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Florian Lapp
1Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Thomas von Rintelen
3Museum für Naturkunde, Leibniz-Institut für Evolutions- und Biodiversitätsforschung, Berlin, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael Balke
4SNSB – Zoologische Staatssammlung München, Munich, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stefan Schmidt
4SNSB – Zoologische Staatssammlung München, Munich, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pierfilippo Cerretti
5Sapienza University of Rome, Rome, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rudolf Meier
2Department of Biological Science, National University of Singapore (NUS), Singapore
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: pylatiuk@kit.edu Rudolf.Meier@mfn.berlin
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/2021.05.17.444523
History 
  • May 18, 2021.

Article Versions

  • You are currently viewing Version 1 of this article (May 18, 2021 - 08:55).
  • Version 2 (May 20, 2021 - 21:07).
  • Version 3 (July 1, 2021 - 07:49).
  • View Version 4, the most recent version of this article.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Lorenz Wührl1,
  2. Christian Pylatiuk1,*,
  3. Matthias Giersch1,
  4. Florian Lapp1,
  5. Thomas von Rintelen3,
  6. Michael Balke4,
  7. Stefan Schmidt4,
  8. Pierfilippo Cerretti5 and
  9. Rudolf Meier2,*
  1. 1Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  2. 2Department of Biological Science, National University of Singapore (NUS), Singapore
  3. 3Museum für Naturkunde, Leibniz-Institut für Evolutions- und Biodiversitätsforschung, Berlin, Germany
  4. 4SNSB – Zoologische Staatssammlung München, Munich, Germany
  5. 5Sapienza University of Rome, Rome, Italy
  1. ↵*Correspondence: pylatiuk{at}kit.edu & Rudolf.Meier{at}mfn.berlin
Back to top
PreviousNext
Posted May 18, 2021.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
DiversityScanner: Robotic discovery of small invertebrates with machine learning methods
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
DiversityScanner: Robotic discovery of small invertebrates with machine learning methods
Lorenz Wührl, Christian Pylatiuk, Matthias Giersch, Florian Lapp, Thomas von Rintelen, Michael Balke, Stefan Schmidt, Pierfilippo Cerretti, Rudolf Meier
bioRxiv 2021.05.17.444523; doi: https://doi.org/10.1101/2021.05.17.444523
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
DiversityScanner: Robotic discovery of small invertebrates with machine learning methods
Lorenz Wührl, Christian Pylatiuk, Matthias Giersch, Florian Lapp, Thomas von Rintelen, Michael Balke, Stefan Schmidt, Pierfilippo Cerretti, Rudolf Meier
bioRxiv 2021.05.17.444523; doi: https://doi.org/10.1101/2021.05.17.444523

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Zoology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4116)
  • Biochemistry (8820)
  • Bioengineering (6522)
  • Bioinformatics (23469)
  • Biophysics (11798)
  • Cancer Biology (9216)
  • Cell Biology (13327)
  • Clinical Trials (138)
  • Developmental Biology (7440)
  • Ecology (11417)
  • Epidemiology (2066)
  • Evolutionary Biology (15160)
  • Genetics (10441)
  • Genomics (14050)
  • Immunology (9176)
  • Microbiology (22168)
  • Molecular Biology (8817)
  • Neuroscience (47589)
  • Paleontology (350)
  • Pathology (1429)
  • Pharmacology and Toxicology (2492)
  • Physiology (3731)
  • Plant Biology (8083)
  • Scientific Communication and Education (1437)
  • Synthetic Biology (2221)
  • Systems Biology (6039)
  • Zoology (1254)