Research on Real-Time Low Air Image Intelligence Image Acquisition and Processing Methods

2019 ◽  
pp. 23-34
Author(s):  
Pin Wang ◽  
Guocheng Zheng ◽  
Shen Zhang ◽  
Peng Xu ◽  
Zhumei Zhao ◽  
...  
Keyword(s):  
Real Time ◽  
Image Acquisition ◽  
Processing Methods

scholarly journals Module to Support Real-Time Microscopic Imaging of Living Organisms on Ground-Based Microgravity Analogs

2021 ◽  
Vol 11 (7) ◽  
pp. 3122
Author(s):  
Srujana Neelam ◽  
Audrey Lee ◽  
Michael A. Lane ◽  
Ceasar Udave ◽  
Howard G. Levine ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Simulated Microgravity ◽  
Image Acquisition ◽  
Time Lapse ◽  
Moving Frames ◽  
Cell Functions ◽  
Microgravity Simulation ◽  
Division Cell ◽  
Over Time

Since opportunities for spaceflight experiments are scarce, ground-based microgravity simulation devices (MSDs) offer accessible and economical alternatives for gravitational biology studies. Among the MSDs, the random positioning machine (RPM) provides simulated microgravity conditions on the ground by randomizing rotating biological samples in two axes to distribute the Earth’s gravity vector in all directions over time. Real-time microscopy and image acquisition during microgravity simulation are of particular interest to enable the study of how basic cell functions, such as division, migration, and proliferation, progress under altered gravity conditions. However, these capabilities have been difficult to implement due to the constantly moving frames of the RPM as well as mechanical noise. Therefore, we developed an image acquisition module that can be mounted on an RPM to capture live images over time while the specimen is in the simulated microgravity (SMG) environment. This module integrates a digital microscope with a magnification range of 20× to 700×, a high-speed data transmission adaptor for the wireless streaming of time-lapse images, and a backlight illuminator to view the sample under brightfield and darkfield modes. With this module, we successfully demonstrated the real-time imaging of human cells cultured on an RPM in brightfield, lasting up to 80 h, and also visualized them in green fluorescent channel. This module was successful in monitoring cell morphology and in quantifying the rate of cell division, cell migration, and wound healing in SMG. It can be easily modified to study the response of other biological specimens to SMG.

New signal processing methods and information technologies for the real time control of JET reactor relevant plasmas

2011 ◽  
Vol 86 (6-8) ◽  
pp. 544-547 ◽  
Author(s):  
A. Murari ◽  
J. Vega ◽  
D. Mazon ◽  
G.A. Rattá ◽  
M.Gelfusa ◽  
...  
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Information Technologies ◽  
Real Time Control ◽  
Processing Methods ◽  
The Real ◽  
Time Control ◽  
Signal Processing Methods

scholarly journals Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5391
Author(s):  
Fan Yin ◽  
Chao Li ◽  
Haibin Wang ◽  
Fan Yang
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Target Detection ◽  
Ambient Noise ◽  
Arrival Direction ◽  
Processing Methods ◽  
Acoustic Target ◽  
Real Time Tracking ◽  
Passive Acoustic ◽  
Target Detecting

Passive acoustic target detection has been a hot research topic for a few decades. Azimuth recording diagram is one of the most promising techniques to estimate the arrival direction of the interested signal by visualizing the sound wave information. However, this method is challenged by the random ambient noise, resulting in low reliability and short effective distance. This paper presents a real-time postprocessing framework for passive acoustic target detection modalities by using a sonar array, in which image processing methods are used to automate the target detecting and tracking on the azimuth recording diagram. The simulation results demonstrate that the proposed approach can provide a higher reliability compared with the conventional ones, and is suitable for the constraints of real-time tracking.

Verification Real-Time Image Acquisition System (VERITAS)

2014 ◽  
Vol 90 (1) ◽  
pp. S892-S893
Author(s):  
J. Rottmann ◽  
D. Kozono ◽  
R. Mak ◽  
A. Chen ◽  
F.L. Hacker ◽  
...  
Keyword(s):  
Real Time ◽  
Image Acquisition ◽  
Acquisition System ◽  
Real Time Image ◽  
Image Acquisition System ◽  
Time Image

Catching the Right Bus, Part VI: Some Options for Real-Time Image Acquisition

1995 ◽  
Vol 9 (5) ◽  
pp. 496
Author(s):  
Gary Forrest ◽  
Scott McKinney ◽  
James R. Matey
Keyword(s):  
Real Time ◽  
Image Acquisition ◽  
Real Time Image ◽  
The Right ◽  
Time Image
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