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these analysis methods to highly informative multimodal microscopy data and develop techniques to integrate correlated structural and molecular analysis into the natural 3D tissue space. This integration will
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with simulated data and 2D and 3D imaging data of plant tissues (the thale cress Arabidopsis and the aquatic fern Ceratopteris). At a later stage, the models can be extended to three dimensions using
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– for manipulating images Familiarity with computer vision libraries, like OpenCV or Dlib, for developing and implementing vision-based models Familiar with 3D refractive imaging technique with demonstratable track
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Digital Twin, which will be combined with existing 3D image data. This approach allows for an unprecedented exploration of Long Room's physical properties, enabling new acoustic experiences for both
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and the environment. The developed methods will combine wireless sensing with digital map information (e.g. 3D building models), enabling safe autonomous navigation in complex urban environments