Seeing the Future with Imaging Science Interdisciplinary Research Team Summaries (2011) / Chapter Skim
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IDR Team Summary 5: How can we extend the domain of adaptive optics and adaptive imaging to new application, and how can we objectively compare adaptive and non-adaptive approaches to specific imaging problems?
IDR Team Summary 5: How can we extend the domain of adaptive optics and adaptive imaging to new application, and how can we objectively compare adaptive and non-adaptive approaches to specific imaging problems?
Pages 61-70
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From page 61... ...
It refers to any autonomous modification of the imaging system to improve its performance, not just correcting for phase distortions and not necessarily relying on auxiliary non-imaging devices such as wavefront sensors. One paradigm is to collect a preliminary image, perhaps with a short exposure time and relatively limited spatial resolution, then to use this information to determine the best hardware configuration and/or data-acquisition protocol for collecting a final image.
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From page 62... ...
Most often the quality has been assessed either in terms of image sharpness or subjective visual impressions, but it is also possible to define image quality rigorously in terms of the scientific of medical information desired from the images, which is often referred to as the task of the imaging system. Typical tasks in medicine include detecting a tumor and estimating its change in size as a result of therapy.
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From page 63... ...
SPIE Press; Bellingham, WA, 2000. IDR TEAM MEMBERS • Thomas Bifano, Boston University • Liliana Borcea, Rice University • Miriam Cohen, University of California, San Diego • Jason W. Fleischer, Princeton University • Craig S. Levin, Stanford University • Teri W. Odom, Northwestern University • Rafael Piestun, University of Colorado at Boulder • Hongkai Zhao, University of California, Irvine • Lori Pindar, University of Georgia IDR TEAM SUMMARY Lori Pindar, NAKFI Science Writing Scholar, University of Georgia From the Heavens to Earth: Adaptive Optics and Adaptive Imaging From the time Galileo first looked through his telescope to catch a glimpse at the night sky, the quest for how to best see past the visual limitation of the
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From page 64... ...
. Pre-Detection Corrections As IDR team 5 began its task, the first discussion revolved around creating a unified interdisciplinary understanding of what adaptive optics and adaptive imaging mean and what mechanisms and technologies use various correction technologies to improve imaging.
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From page 65... ...
Questions regarding increased data correction, measure, and speed were introduced in order to better assess those applications for which adaptive optics and adaptive imaging are most amenable. For example, in biological tissue samples, when light or radiation is passed through a sample, there needs to be a proper balance so that the tissue can be seen without destroying the integrity of the sample.
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From page 66... ...
because these media and the aberrations they produce are known, the instruments measuring them can be fixed to continually adjust and produce an accurate reading or measure of the object of study. The usual objective with adaptive optics is to reach a diffractive limit within a linear domain.
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From page 67... ...
" This led to the following ideas: 6. Applying adaptive optics to plasmonics to mold dynamically (nanoscale; adaptive imaging)
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From page 68... ...
Imaging with past measurements in order to increase data speed and create higher resolution images In extending adaptive optics and adaptive imaging to new systems, the prior conceptual list can be assessed by various fields and possibly build new relationships that are interdisciplinary and pose mutual benefit to implementing and using improved adaptive imaging systems. To Adapt or Not Adapt .
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From page 69... ...
For adaptive imaging, the problem involves imaging in and through highly scattered media. This problem is especially relevant in medical imaging through turbid media such as bodily tissue.
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From page 70... ...
Although improving the quality of images and their systems is an important goal, future tools, systems, algorithms, and other components of adaptive imaging and adaptive optics are yet to be designed and implemented. However, the team envisioned a future that can be brought from the peripheral cusp of ingenuity and into focus for future generations of imaging science applications.
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