2005
DOI: 10.1117/12.615505
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Staring/focusing lobster-eye hard x-ray imaging for non-astronomical objects

Abstract: A new approach to hard X-ray imaging is proposed, based on staring optics consisting of a lobster-eye lens. This new Staring Imaging Lobster-Eye X-Ray approach is especially suited to X-ray lobster-eye imaging of non-astronomical objects at finite distances, because the staring optics replacing the standard scanning optics, result in an extremely efficient power budget, making possible not only the use of low-efficiency Compton backscattering but also operation with low-flux X-ray beams, increasing operator sa… Show more

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Cited by 16 publications
(25 citation statements)
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“…7,8 Imaging by use of dihedral corner reflector array has been conventionally used for scanners 9 and X-ray focusing. [10][11][12] A schematic diagram showing the imaging principle is shown in Figure 2. Double reflections perform retro-reflection in the plane parallel to the reflector array.…”
Section: Introductionmentioning
confidence: 99%
“…7,8 Imaging by use of dihedral corner reflector array has been conventionally used for scanners 9 and X-ray focusing. [10][11][12] A schematic diagram showing the imaging principle is shown in Figure 2. Double reflections perform retro-reflection in the plane parallel to the reflector array.…”
Section: Introductionmentioning
confidence: 99%
“…A lot of effort has been made at Physical Optics Corporation (POC) related to animal optics and physics, in general, including: x-ray optics of lobster-eye [1], fish-eye (both, transmission lens and mirror optics), bug-eye (a primitive version of lobster eye, without focusing abilities), moth-eye (a type of antireflection coating), and biologically-inspired self-healing material for wearable Personal Area Networks [2]. These efforts also lead us to diffuser-based [3] microbrushes for IC-cleanup, and, recently to nano-brushes, based on Gecko-lizard foot hairs analogy [4][5][6], the latter one presented in this paper.…”
Section: Introductionmentioning
confidence: 99%
“…The pre-ATR ID process becomes complex if it is performed by RF-wireless visual sensor networks, based on Unmanned Ground Vehicles (UGVs), or other ground vehicles. The visual sensors include: TV cameras, artificial animal eyes [1] (fish eye, bug eye, lobster eye [2] , etc. ), and other video-like sensors.…”
Section: Introductionmentioning
confidence: 99%