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Quantification and Spatial Relationship

g. Forschungszentrum. Quantification and Spatial Relationship. Karsten Rodenacker, Neuherberg Martina Hausner, München Anna A. Gorbushina, Oldenburg. Content. Introduction from perception to image analysis

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Quantification and Spatial Relationship

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  1. g Forschungszentrum Quantification and Spatial Relationship Karsten Rodenacker, Neuherberg Martina Hausner, München Anna A. Gorbushina, Oldenburg

  2. Content • Introduction from perception to image analysis • Measurement objects, groups of objects inter- and intra-relationships • Examples • Conclusion

  3. Introduction • Perception – recognition – differentiation – description • Quantification • Relation of qualitative and quantitative terms

  4. Introduction • The difficulty NOT to see something

  5. Introduction • The difficulty to see anything

  6. Introduction • The ease to see the impossible

  7. Introduction • Quantitative terms

  8. Introduction • How to relate qualitative and quantitative terms?

  9. Introduction • Digitisation • Segmentation

  10. Introduction • Sub sectioning and change of scale

  11. Introduction Measurement (of one object) • Extension • Size • Shape • Structure

  12. Introduction Measurement (of several objects) • Arrangement • Relation • Neighbourhood

  13. Measurement • Examples of measurements,objects and groups of objects • Spatial relationships

  14. Measurement • Area • Perimeter • Extension

  15. Measurement • Shape • Growth shape • Density, intensity

  16. Measurement • ExtensionsLength (skeleton)=1621 pxmean thickness=2.27 px

  17. Measurement • Neighbourhoodclosing onfilaments

  18. Measurement • SpatialRelationshipDelaunay triangulationnearest neighboursminimum spanning treeconvex hullSkeleton neighbourhood

  19. Measurement • SpatialRelationshipExample frompathology

  20. Measurement • Spatial relationship (objects of different type) Double marked sludge flocks Distances to the red phase

  21. object object object object object Measurement • Measurement continuum • Measurement hierarchy pixel content location properties content location external properties

  22. Example • Bacterial growth in flow chambersDifferentiation of wild and mutant bacteria pseudomonas aeruginosa by CLSM imaging

  23. Example • Wild (PA) and mutant (MW) bacteriaGrowth overtime(slice # = depth)

  24. Example • Substrate coverage (closing) Wild type bacteria Mutant bacteria

  25. Example • Bacterial growth in flow chambersConjugativegenetic transfer in bacterialbiofilm

  26. Example • Quantification of colonies of micro colonial fungi from sub aerial biofilms coniosporium sp. and sarcinomyces sp. under soil (b), sand (s) coverage and in air (l)

  27. Example • Colonies of micro colonial fungi

  28. Example • Colonies of micro colonial fungi

  29. Conclusion • Perception, descriptionand measurement of objects and object groups in images • Exclusions (e.g. texture, filtering, fractals, etc.) • Faith and (apparent) truth

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