Luiselotte Rausch

ORCID: 0000-0002-0246-3709
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About
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Research Areas
  • Cell Image Analysis Techniques
  • Plant Molecular Biology Research
  • Plant nutrient uptake and metabolism
  • Plant Stress Responses and Tolerance
  • Advanced Fluorescence Microscopy Techniques
  • Advanced Electron Microscopy Techniques and Applications
  • Smart Agriculture and AI
  • Nanopore and Nanochannel Transport Studies
  • Remote Sensing in Agriculture
  • Lipid Membrane Structure and Behavior
  • Advanced biosensing and bioanalysis techniques
  • Plant Reproductive Biology

University of Tübingen
2021-2024

Institute of Plant Molecular Biology
2023

Super-resolution microscopy (SRM) approaches revolutionize cell biology by providing insights into the nanoscale organization and dynamics of macromolecular assemblies single molecules in living cells. A major hurdle limiting SRM democratization is post-acquisition data analysis which often complex time-consuming. Here, we present OneFlowTraX, a user-friendly open-source software dedicated to single-molecule localization (SMLM) such as single-particle tracking photoactivated (sptPALM)....

10.3389/fpls.2024.1358935 article EN cc-by Frontiers in Plant Science 2024-04-19

Brassinosteroids (BR) are key hormonal regulators of plant development. However, whereas the individual components BR perception and signaling well characterized experimentally, question how they can act whether sufficient to carry out critical function cellular elongation remains open. Here, we combined computational modeling with quantitative cell physiology understand dynamics plasma membrane (PM)-localized response pathway during initiation responses in epidermis

10.7554/elife.73031 article EN cc-by eLife 2022-09-07

ABSTRACT Super-resolution microscopy (SRM) approaches revolutionize cell biology by providing insights into the nanoscale organization and dynamics of macromolecular assemblies single molecules in living cells. A major hurdle limiting SRM democratization is post-acquisition data analysis which often complex time-consuming. Here, we present OneFlowTraX, a user-friendly open-source software dedicated to single-molecule localization (SMLM) such as single-particle tracking photoactivated...

10.1101/2023.08.10.552827 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2023-08-11

Abstract Traditional models such as the fluid mosaic model or lipid raft hypothesis have shaped our understanding of plasma membrane (PM) organization. However, recent discoveries extended these paradigms by pointing to existence micro- and nanodomains. Here, we investigated role cytoskeleton in general whether picket fence model, established animal cells, is transferable plant cell system. By using single-particle tracking photoactivated localization microscopy (sptPALM) combination with...

10.1101/2024.09.09.612020 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2024-09-09

Abstract Hormonal mechanisms associated with cell elongation play a vital role in the development and growth of plants. Here, we report Nextflow-root (nf-root), novel best-practice pipeline for deep-learning-based analysis fluorescence microscopy images plant root tissue from A. thaliana. This bioinformatics performs automatic identification developmental zones images. also includes apoplastic pH measurements, which is useful modeling hormone signaling physiological responses. We show that...

10.1017/qpb.2024.11 article EN cc-by-nc-nd Quantitative Plant Biology 2024-01-01

Abstract Brassinosteroids (BR) are key hormonal regulators of plant development. However, whereas the individual components BR perception and signaling well characterized experimentally, question how they can act whether sufficient to carry out critical function cellular elongation remains open. Here, we combined computational modeling with quantitative cell physiology understand dynamics plasma membrane (PM)-localized response pathway during initiation responses in epidermis Arabidopsis...

10.1101/2021.04.13.439595 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2021-04-14

Abstract Here we report nextflow-root ( nf-root ), a novel best-practice pipeline for deep learning-based analysis of fluorescence microscopy images plant root tissue, aimed at studying hormonal mechanisms associated with cell elongation, given the vital role that hormones play in development and growth plants. This bioinformatics performs automatic identification developmental zones tissue images, apoplastic pH measurements zones, which is useful modeling hormone signaling physiological...

10.1101/2023.01.16.524272 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-01-19
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