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SUMMARY:Basic Microscopic Image Processing and Analysis
DTSTART;TZID=Europe/Berlin:20241017T090000
DTEND;TZID=Europe/Berlin:20241018T153000
DTSTAMP:20260516T153632Z
UID:ae819fb2865a48089d12edff07dfcabf@www.trr259.uni-bonn.de
CREATED:20260330T153348Z
DESCRIPTION:- Short Introduction to Fiji / ImageJ and basic functions\n- O
 verview over proper scientific image file formats\, metadata\, bit depth\n
 - In-depth practical introduction to pre-processing\n    - Automatic uneve
 n lighting correction\n    - Understanding of image filters and their use 
 cases for improved object detection\n    - Automatic background subtractio
 n algorithms to reduce unspecific signal\n- Object segmentation with autom
 atic intensity thresholds (semantic segmentation)\n- Individual object lab
 eling (instance segmentation)\n- Basic insight into some user friendly mac
 hine learning plugins in comparison to classical segmentation\n- Optimizat
 ion of segmentation with post-processing methods\n- Quality control of seg
 mentation results\n- Different basic automatic analyses (object counting\,
  measurements\, shapes\, intensities)\n- Optional dependent on time: How t
 o deal with 3D data in image analysis\n- Short introduction to macro recor
 ding for automation
LAST-MODIFIED:20260330T162844Z
URL:https://www.trr259.uni-bonn.de/en/irtg/soft-skill-courses-1/basic-micr
 oscopic-image-processing-and-analysis
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TZID:Europe/Berlin
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DTSTART:20240331T030000
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TZOFFSETTO:+0200
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