scholarly journals 3D imaging of biofilms on implants by detection of scattered light with a scanning laser optical tomograph

2011 ◽  
Vol 2 (11) ◽  
pp. 2982 ◽  
Author(s):  
Marko Heidrich ◽  
Mark P. Kühnel ◽  
Manuela Kellner ◽  
Raoul-Amadeus Lorbeer ◽  
Tineke Lange ◽  
...  
Keyword(s):  
3D Imaging ◽  
Scattered Light ◽  
Scanning Laser

Development of scanning laser sensor for underwater 3D imaging with the coaxial optics

2014 ◽  
Author(s):  
Hideaki Ochimizu ◽  
Masaharu Imaki ◽  
Shumpei Kameyama ◽  
Takashi Saito ◽  
Shoujirou Ishibashi ◽  
...  
Keyword(s):  
3D Imaging ◽  
Scanning Laser ◽  
Laser Sensor

scholarly journals Influence of Scheimpflug condition on measurements of a scanning laser line sensor for 3D imaging

2018 ◽  
Vol 1065 ◽  
pp. 142006
Author(s):  
Johannes Schlarp ◽  
Ernst Csencsics ◽  
Georg Schitter
Keyword(s):  
3D Imaging ◽  
Laser Line ◽  
Scanning Laser

Scanning laser imagers with large working distances

1988 ◽  
Vol 46 ◽  
pp. 58-59
Author(s):  
Robert H. Webb
Keyword(s):  
Convex Surface ◽  
Scattered Light ◽  
Skin Lesions ◽  
Great Depth ◽  
Scanning Laser ◽  
Scanning System ◽  
Spherical Object ◽  
Confocal Scanning ◽  
Confocal Scanning Laser ◽  
Working Distance

The confocal Scanning Laser Ophthalmoscope exemplifies the new and exciting images available with scanning techniques, and particularly with a confocal arrangement. An ophthalmoscope might be considered a microscope whose objective is the cornea and lens of the eye. As such, it has a working distance of about 23 mm , a spherical object surface, and a resolution of 10 μm . With an external lens, the instrument can be configured as a general microscope of long working distance. We have made this change to facilitate viewing the convex surface of the eye's conjunctiva, benefitting from the great depth of focus available in a scanning system, and for observing melanotic skin lesions with the extreme rejection of scattered light available in a confocal arrangement.Scanning microscopes illuminate only one resolution element of the object at a time. Thus they encode the image information temporally - as a sequence of voltage pulses from an electro-optical detector.

Research progress and trend analysis of non-scanning laser 3D imaging radar

2018 ◽  
Vol 11 (10) ◽  
pp. 711-727
Author(s):  
卜禹铭 BU Yu-ming ◽  
杜小平 DU Xiao-ping ◽  
曾朝阳 ZENG Zhao-yang ◽  
赵继广 ZHAO Ji-guang ◽  
宋一铄 SONG Yi-shuo
Keyword(s):  
Trend Analysis ◽  
3D Imaging ◽  
Research Progress ◽  
Scanning Laser ◽  
Imaging Radar

Characterizing image quality in a scanning laser ophthalmoscope with differing pinholes and induced scattered light

2007 ◽  
Vol 24 (5) ◽  
pp. 1284 ◽  
Author(s):  
Jennifer J. Hunter ◽  
Christopher J. Cookson ◽  
Marsha L. Kisilak ◽  
Juan M. Bueno ◽  
Melanie C. W. Campbell
Keyword(s):  
Image Quality ◽  
Scattered Light ◽  
Scanning Laser Ophthalmoscope ◽  
Scanning Laser

scholarly journals Versatile Multi-Detector Scheme for Adaptive Optics Scanning Laser Ophthalmoscopy

2018 ◽  
Author(s):  
Sanam Mozaffari ◽  
Volker Jaedicke ◽  
Francesco Larocca ◽  
Pavan Tiruveedhula ◽  
Austin Roorda
Keyword(s):  
Adaptive Optics ◽  
Signal To Noise Ratio ◽  
Scattered Light ◽  
Scanning Laser ◽  
Retinal Vasculature ◽  
Single Element ◽  
Scanning Laser Ophthalmoscopy ◽  
Signal To Noise ◽  
Detection Scheme ◽  
Multiple Detectors

AbstractAdaptive Optics Scanning Laser Ophthalmoscopy (AOSLO) is a powerful tool for imaging the retina at high spatial and temporal resolution. In this paper, we present a multi-detector scheme for AOSLO which has two main configurations: pixel reassignment and offset aperture imaging. In this detection scheme, the single element detector of the standard AOSLO is replaced by a fiber bundle which couples the detected light into multiple detectors. The pixel reassignment configuration allows for more light throughput while maintaining optimal confocal resolution. The increase in signal-to-noise ratio (SNR) from this configuration can improve the accuracy of motion registration techniques. The offset aperture imaging configuration enhances the detection of multiply scattered light, which improves the contrast of retinal vasculature and inner retinal layers similar to methods such as nonconfocal split-detector imaging and multi-offset aperture imaging.

scholarly journals Non-Scanning Three-Dimensional Imaging System with a Single-Pixel Detector: Simulation and Experimental Study

2020 ◽  
Vol 10 (9) ◽  
pp. 3100
Author(s):  
Guang Shi ◽  
Leijue Zheng ◽  
Wen Wang ◽  
Keqing Lu
Keyword(s):  
3D Imaging ◽  
Imaging System ◽  
Three Dimensional ◽  
Scanning Laser ◽  
Pixel Detector ◽  
Reconstruction Algorithms ◽  
Imaging Technology ◽  
Area Array ◽  
Array Detectors ◽  
Single Pixel

Existing scanning laser three-dimensional (3D) imaging technology has slow measurement speed. In addition, the measurement accuracy of non-scanning laser 3D imaging technology based on area array detectors is limited by the resolution and response frequency of area array detectors. As a result, applications of laser 3D imaging technology are limited. This paper completed simulations and experiments of a non-scanning 3D imaging system with a single-pixel detector. The single-pixel detector can be used to achieve 3D imaging of a target by compressed sensing to overcome the shortcomings of the existing laser 3D imaging technology. First, the effects of different sampling rates, sparse transform bases, measurement matrices, and reconstruction algorithms on the measurement results were compared through simulation experiments. Second, a non-scanning 3D imaging experimental platform was designed and constructed. Finally, an experiment was performed to compare the effects of different sampling rates and reconstruction algorithms on the reconstruction effect of 3D imaging to obtain a 3D image with a resolution of 8 × 8. The simulation results show that the reconstruction effect of the Hadamard measurement matrix and the minimum total variation reconstruction algorithm performed well.

Research progress and trend analysis of non-scanning laser 3D imaging radar

2018 ◽  
Vol 11 (5) ◽  
pp. 711-727 ◽  
Author(s):  
卜禹铭 BU Yu-ming ◽  
杜小平 DU Xiao-ping ◽  
曾朝阳 ZENG Zhao-yang ◽  
赵继广 ZHAO Ji-guang ◽  
宋一铄 SONG Yi-shuo
Keyword(s):  
Trend Analysis ◽  
3D Imaging ◽  
Research Progress ◽  
Scanning Laser ◽  
Imaging Radar
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