A Low-light-level CCD camera design and implementation of low cost and large field

Author(s):  
Su Yan ◽  
Hua Li ◽  
Hao Wang ◽  
Zuofeng Zhou ◽  
Aqi yan
1980 ◽  
Vol 24 (1) ◽  
pp. 306-309
Author(s):  
Robert M. Waters ◽  
Larry W. Avery

Two experiments were run comparing the operational binoculars AN/PVS-5 Night Vision Goggles with two monocular low cost night vision goggles using newer light intensification techniques. No decrement in performance was noted in visual acuity or depth perception with the monocular low cost goggles; an improved capability was noted with the new goggles in low light level conditions.


2021 ◽  
Author(s):  
Zhaoning Zhang ◽  
Yujie Wang ◽  
Rafael Piestun ◽  
Zhen-Li Huang

AbstractWith promising properties of fast imaging speed, large field-of-view, relative low cost and many others, back-illuminated sCMOS cameras have been receiving intensive attentions for low-light imaging in the past several years. However, due to the pixel-to-pixel difference of camera noises (called noise non-uniformity) in sCMOS cameras, researchers may hesitate to use them in some application fields, and sometimes wonder whether they should optimize the noise non-uniformity of their sCMOS cameras before using them in a specific application scenario. In this paper, we systematically characterize the impact of different types of sCMOS noises on image quality and perform corrections to these sCMOS noises. We verify that it is possible to use appropriate correction methods to push the non-uniformity of major camera noises, including readout noise, offset, and photon response, to a satisfactory level for conventional microscopy and single molecule localization microscopy. We further find out that, after these corrections, global read noise becomes a major concern that limits the imaging performance of back-illuminated sCMOS cameras. We believe this study provides new insights into the understanding of camera noises in back-illuminated sCMOS cameras, and also provides useful information for future development of this promising camera technology.


Author(s):  
W. Parrish ◽  
R. Fischer ◽  
P. Lee
Keyword(s):  

2000 ◽  
Author(s):  
Lianfa Bai ◽  
Guohua Gu ◽  
Qian Chen ◽  
Baomin Zhang
Keyword(s):  

Author(s):  
G.Y. Fan ◽  
J.M. Cowley

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.


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