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Advanced Biological Imaging Techniques and Applications

Explore the latest innovations and trends in biological imaging, from JPEG image compression to 3D imaging and beyond. Discover how imaging technologies are revolutionizing the understanding of organisms and populations, with a focus on growth, quantification, and data processing. Learn about groundbreaking examples like mouse phenotyping and retinal mapping, and delve into the challenges and advancements in imaging technology. From image-based phenotyping to geometric/statistical analysis, this comprehensive guide covers it all.

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Advanced Biological Imaging Techniques and Applications

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  1. JPEG Image CompressionAll of the Gory Details

  2. Biological Imaging Ross Whitaker University of Utah

  3. Clinical Imaging • Paradigm • Diagnosis/prognosis (individuals) • Radiologists/experts • Trends • More/larger datasets (+3D) • Surgery/planning • Quantification

  4. Biological Imaging • Understanding organisms/populations • Growth–explosive • Trends: instrumentation + science • Very large datasets • E.g. terabytes • Acquisition times • Paradigm • Quantification/exploration • Desperate need of tools

  5. Biological Imaging Examples • Mouse phenotyping – M. Capecchi • Retinal mapping – R. Marc

  6. The Capecchi Laboratory • Knock-out mouse • Mouse as test tube for genetics • Understanding the effects of particular genes • Mutations to study mouse-bat relationships • Skeleton

  7. Mouse Phenotyping • State of the art • Dozens of animals • Dissection, etc. • Future • Hundreds/thousands of animals • 3D imaging (MRI,CT)

  8. Shape & Deformation • Atlas/image registration • Statistics of shape/deformation • Fundamental questions • Visualization • Algorithm development and tuning • End user • Imaging • Reconstruction • Image processing (denoising) • Atlases/Prototypes • Image Registration • Scale of problem • Deformation vs articulation • Modeling • Representing variability • Structures or pixels • Segmentation • User interaction/visualization • Automation–Computer Vision Atlas/protoype Mutants Images Geometric/ Statistical Analysis Mutants Images Image-Based PhenotypingA Significant Engineering Challenge

  9. Marc Laboratory

  10. 3D tracking • Mosaicing • Distortion and position • Very large images (100mps) • Filtering and segmentation • Noise, texture Retinal Mapping

  11. Visualization in Biological Imaging • As a visual front end for other tools • User assisted analysis • Exploration • Heterogeneous data • Large databases • Interpretation • Statistics (high dimensions) • Anatomical variability

  12. Done

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