A simple null-field ellipsometric imaging system (NEIS) for in-situ monitoring of EUV-induced deposition on EUV optics

Author(s):  
Rashi Garg ◽  
Nadir Faradzhev ◽  
Shannon Hill ◽  
Lee Richter ◽  
P. S. Shaw ◽  
...  
Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3471
Author(s):  
Zhiqiang Du ◽  
Chunlei Xia ◽  
Longwen Fu ◽  
Nan Zhang ◽  
Bowei Li ◽  
...  

A cost-effective and low-power-consumption underwater microscopic imaging system was developed to capture high-resolution zooplankton images in real-time. In this work, dark-field imaging was adopted to reduce backscattering and background noise. To produce an accurate illumination, a novel illumination optimization scheme for the light-emitting diode (LED) array was proposed and applied to design a lighting system for the underwater optical imaging of zooplankton. A multiple objective genetic algorithm was utilized to find the best location of the LED array, which resulted in the specific illumination level and most homogeneous irradiance in the target area. The zooplankton imaging system developed with the optimal configuration of LEDs was tested with Daphnia magna under laboratory conditions. The maximal field of view was 16 mm × 13 mm and the optical resolution was 15 μm. The experimental results showed that the imaging system developed could capture high-resolution and high-definition images of Daphnia. Subsequently, Daphnia individuals were accurately segmented and their geometrical characters were measured by using a classical image processing algorithm. This work provides a cost-effective zooplankton measuring system based on an optimization illumination configuration of an LED array, which has a great potential for minimizing the investment and operating costs associated with long-term in situ monitoring of the physiological state and population conditions of zooplankton.


2008 ◽  
Vol 100 (1) ◽  
pp. 159-167 ◽  
Author(s):  
N.B.E. Sawyer ◽  
L.K. Worrall ◽  
J.A. Crowe ◽  
S.L. Waters ◽  
K.M. Shakesheff ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 787
Author(s):  
Gazi Rahman ◽  
Hanif Sohag ◽  
Rakibul Chowdhury ◽  
Khan A. Wahid ◽  
Anh Dinh ◽  
...  

A minirhizotron is an in situ root imaging system that captures components of root system architecture dynamics over time. Commercial minirhizotrons are expensive, limited to white-light imaging, and often need human intervention. The implementation of a minirhizotron needs to be low cost, automated, and customizable to be effective and widely adopted. We present a newly designed root imaging system called SoilCam that addresses the above mentioned limitations. The imaging system is multi-modal, i.e., it supports both conventional white-light and multispectral imaging, with fully automated operations for long-term in-situ monitoring using wireless control and access. The system is capable of taking 360° images covering the entire area surrounding the tube. The image sensor can be customized depending on the spectral imaging requirements. The maximum achievable image quality of the system is 8 MP (Mega Pixel)/picture, which is equivalent to a 2500 DPI (dots per inch) image resolution. The length of time in the field can be extended with a rechargeable battery and solar panel connectivity. Offline image-processing software, with several image enhancement algorithms to eliminate motion blur and geometric distortion and to reconstruct the 360° panoramic view, is also presented. The system is tested in the field by imaging canola roots to show the performance advantages over commercial systems.


2021 ◽  
Vol 326 ◽  
pp. 129007
Author(s):  
Zahra Nasri ◽  
Giuliana Bruno ◽  
Sander Bekeschus ◽  
Klaus-Dieter Weltmann ◽  
Thomas von Woedtke ◽  
...  

2021 ◽  
pp. 2105799
Author(s):  
Yu Zhang ◽  
Li Yang ◽  
Jintao Wang ◽  
Wangying Xu ◽  
Qiming Zeng ◽  
...  

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