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SUMMARY:DWARPH: An Open Source\, scalable platform for High-Throughput Env
 ironmental response mapping in Duckweed
DTSTART;VALUE=DATE-TIME:20260929T074500Z
DTEND;VALUE=DATE-TIME:20260929T080000Z
DTSTAMP;VALUE=DATE-TIME:20260916T130456Z
UID:indico-contribution-2894@cern.ch
DESCRIPTION:Speakers: Lauritsen Markus Dahl (Center for Quantitative Genet
 ics and Genomics (QGG)\, Aarhus University\, Aarhus\, Denmark)\nDuckweed i
 s a uniquely fast and tractable plant model\, making it ideal for studying
  dynamic plant–environment interactions on time scales impossible with c
 onventional crop or model species. However\, fully harnessing this in duck
 weed requires sample-level environmental control paired with dense tempora
 l phenotyping. Standard room-scale or chamber-scale growth systems lack th
 e targeted precision\, parallel experimentation and imaging frequency requ
 ired to impose the environment and monitor the plant's response.\n\nWe pre
 sent **DWARPH** (DuckWeed Automatic Robot for PHenotyping)\, an open-sourc
 e hardware and software platform engineered to bridge this gap exact gap. 
 DWARPH integrates programmable\, localized control of light intensity and 
 temperature with continuous\, high-frequency imaging. The system supports 
 complex environmental perturbations\, including rapid step changes\, conti
 nuous ramps\, and cyclic regimes. By automatically synchronizing microenvi
 ronmental perturbations with image capture\, DWARPH allows researchers to 
 measure phenotypic metrics\, quantitative growth dynamics\, and short-inte
 rval acclimation responses in real time.\n\nBecause DWARPH relies on acces
 sible 3D-printed components and a modular architecture\, researchers can d
 eploy multiple units in parallel to explore broad parameter spaces simulta
 neously rather than relying on sequential experiments in expensive climate
  chambers.\n\nThis presentation will focus on the design and engineering o
 f the DWARPH system. We will present initial data validating system perfor
 mance and temporal precision for detecting plant responses to microenviron
 mental perturbations\, followed by a brief overview of future experimental
  applications.\n\nhttps://indico.unina.it/event/117/contributions/2894/
LOCATION:Department of Agricultural Sciences of the University of Napoli F
 ederico II\, Portici\, Italy Sala Cinese
URL:https://indico.unina.it/event/117/contributions/2894/
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