Machine learning based analytics for bacteria cell cycle characterization using super resolution microscopy

Project Information

BALTIC

Grant agreement ID: 890169

DOI

10.3030/890169

Project closed

EC signature date 20 March 2020

Start date 1 April 2020

End date 7 October 2022

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 191 149,44

EU contribution

€ 191 149,44

Coordinated by

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Switzerland

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (3)

Fluorescent D-Amino Acids for Super-resolution Microscopy of the Bacterial Cell Wall

Author(s): Zhang, Chen ; Reymond, Luc ; Rutschmann, Ophelie ; Meyer, Mischa A. ; Denereaz, Julien ; Qiao, Jiangtao ; Ryckebusch, Faustine ; Griffie, Juliette ; Stepp, Willi L. ; Manley, Suliana
Published in: ACS Chemical Biology, 2022, ISSN 1554-8929
Publisher: American Chemical Society
DOI: 10.1021/acschembio.2c00496

Single-molecule localization microscopy

Author(s): Mickaël Lelek, Melina T Gyparaki, Gerti Beliu, Florian Schueder, Juliette Griffié, Suliana Manley, Ralf Jungmann, Markus Sauer, Melike Lakadamyali, Christophe Zimmer
Published in: Nature Reviews Methods Primer, 2021, ISSN 2662-8449
Publisher: Springer Nature
DOI: 10.1038/s43586-021-00038-x

Event-driven acquisition for content-enriched microscopy

Author(s): Dora Mahecic, Willi L Stepp, Chen Zhang, Juliette Griffié, Martin Weigert, Suliana Manley
Published in: Nature Methods, Issue 15487105, 2022, ISSN 1548-7105
Publisher: Springer Nature
DOI: 10.1038/s41592-022-01589-x