A low-light-level video recursive filtering technology based on the three-dimensional coefficients

2017 ◽  
Author(s):  
Rongguo Fu ◽  
Tianyu Shen ◽  
Hao Luo ◽  
Qi Yang ◽  
Shu Feng ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Light Level ◽  
Low Light ◽  
Recursive Filtering

Low-light-level three-dimensional video microscope with long working distance objective lenses

1994 ◽  
Vol 52 ◽  
pp. 226-227
Author(s):  
W. Lin ◽  
J. Gregorio ◽  
T.J. Holmes ◽  
D. H. Szarowski ◽  
J.N. Turner
Keyword(s):  
Three Dimensional ◽  
Light Level ◽  
Stereo Pair ◽  
Light Illumination ◽  
Initial Image ◽  
Low Light ◽  
Image Recording ◽  
Depth Discrimination ◽  
Video Microscope ◽  
Working Distance

A low-light level video microscope with long working distance objective lenses has been built as part of our integrated three-dimensional (3-D) light microscopy workstation (Fig. 1). It allows the observation of living specimens under sufficiently low light illumination that no significant photobleaching or alternation of specimen physiology is produced. The improved image quality, depth discrimination and 3-D reconstruction provides a versatile intermediate resolution system that replaces the commonly used dissection microscope for initial image recording and positioning of microelectrodes for neurobiology. A 3-D image is displayed on-line to guide the execution of complex experiments. An image composed of 40 optical sections requires 7 minutes to process and display a stereo pair.The low-light level video microscope utilizes long working distance objective lenses from Mitutoyo (10X, 0.28NA, 37 mm working distance; 20X, 0.42NA, 20 mm working distance; 50X, 0.42NA, 20 mm working distance). They provide enough working distance to allow the placement of microelectrodes in the specimen.

scholarly journals Can Plants Move like Animals? A Three-Dimensional Stereovision Analysis of Movement in Plants

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1854
Author(s):  
Valentina Simonetti ◽  
Maria Bulgheroni ◽  
Silvia Guerra ◽  
Alessandro Peressotti ◽  
Francesca Peressotti ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Light Level ◽  
Stereoscopic Vision ◽  
Maximum Speed ◽  
Cycle Period ◽  
Movement Kinematics ◽  
Low Light ◽  
Automatic Tracking ◽  
Pisum Sativum L ◽  
Key Points

In this article we adapt a methodology customarily used to investigate movement in animals to study the movement of plants. The targeted movement is circumnutation, a helical organ movement widespread among plants. It is variable due to a different magnitude of the trajectory (amplitude) exhibited by the organ tip, duration of one cycle (period), circular, elliptical, pendulum-like or irregular shape and the clockwise and counterclockwise direction of rotation. The acquisition setup consists of two cameras used to obtain a stereoscopic vision for each plant. Cameras switch to infrared recording mode for low light level conditions, allowing continuous motion acquisition during the night. A dedicated software enables semi-automatic tracking of key points of the plant and reconstructs the 3D trajectory of each point along the whole movement. Three-dimensional trajectories for different points undergo a specific processing to compute those features suitable to describe circumnutation (e.g., maximum speed, circumnutation center, circumnutation length, etc.). By applying our method to the approach-to-grasp movement exhibited by climbing plants (Pisum sativum L.) it appears clear that the plants scale movement kinematics according to the features of the support in ways that are adaptive, flexible, anticipatory and goal-directed, reminiscent of how animals would act.

Thin Film on ASIC (TFA) - A Technology for Advanced Image Sensor Applications

2005 ◽  
Vol 869 ◽  
Author(s):  
Juergen Sterzel ◽  
Frank Blecher
Keyword(s):  
Dark Current ◽  
Crystalline Silicon ◽  
Three Dimensional ◽  
Light Level ◽  
Image Sensor ◽  
Image Sensors ◽  
Current Sensitivity ◽  
Low Light ◽  
Sensor Applications ◽  
Pattern Noise

AbstractThanks to its three-dimensional integration and the use of amorphous as well as crystalline silicon, the TFA technology is suitable for advanced image sensor applications. This paper describes the fundamentals of the properties: sensitivity, dark current, temporal and fixed-pattern noise of these TFA image sensors. It compares the different sensitivity definitions, especially current sensitivity and the charge conversion factor. Further, the dark current sources are pointed out, and their temperature behavior is described. By noise calculations, different pixel input stages are compared with regard to low light level detection.

Software pattern recognition applied to nanodiffraction patterns from a STEM instrument

1986 ◽  
Vol 44 ◽  
pp. 694-695
Author(s):  
G.Y. Fan ◽  
J.M. Cowley
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Computer Software ◽  
Processing System ◽  
Light Level ◽  
Host Computer ◽  
Low Light ◽  
Image Processing System ◽  
Recent Developments ◽  
On Line

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.

Theory and experiment study on low-light-level (LLL) image by topology mode filters

1998 ◽  
Author(s):  
Lianfa Bai ◽  
Qian Chen ◽  
Dekui Yin ◽  
Baomin Zhang
Keyword(s):  
Light Level ◽  
Experiment Study ◽  
Low Light ◽  
Theory And Experiment

A robust color image fusion for low light level and infrared images

2016 ◽  
Author(s):  
Chao Liu ◽  
Xiao-hui Zhang ◽  
Qing-ping Hu ◽  
Yong-kang Chen
Keyword(s):  
Image Fusion ◽  
Color Image ◽  
Light Level ◽  
Infrared Images ◽  
Low Light
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