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.

Design of a High-Speed Image Data Real-Time Storage and Display Circuit

2014 ◽  
Vol 912-914 ◽  
pp. 1222-1227 ◽  
Author(s):  
Cheng Qun Chu ◽  
Yong Feng Ren ◽  
Fang Ma
Keyword(s):  
Real Time ◽  
High Speed ◽  
Image Acquisition ◽  
Image Data ◽  
Data Access ◽  
Acquisition System ◽  
Nand Flash ◽  
Large Capacity ◽  
Storage Rate ◽  
Internal Block

The needs of large-capacity storage in high-speed image acquisition systems require the design of reliable and efficient storage instruments. The paper presents a FPGA-based high-speed storage instrument for high speed Camera Link image acquisition system. The FPGA processes the input data and stores the results into the storage array. Multi-chip large-capacity SLC NAND Flash chips constitute a storage array, with up to 100MByte/s storage rate, is used for the digitization image signals. A multilevel high-speed buffer structure based on abundant internal block RAM resources in FPGA is used for speeding up data access. At the same time, it can take advantage of FPGA constructing the corresponding VGA timing signals to control the video conversion chip ADV7123 to realize the function of real-time display. After a description of the proposed hardware and solutions, an experimental was built to test the performance. The results have shown that the FPGA-based acquisition system is a compact and flexible solution for high-speed image acquisition applications.

The Research of Real-Time Image Acquisition and Sobel Edge Detection with FPGA

2011 ◽  
Vol 467-469 ◽  
pp. 703-708
Author(s):  
Yang Xu ◽  
Ping Li ◽  
Jian Jun Yuan ◽  
Min Xiang
Keyword(s):  
Edge Detection ◽  
Real Time ◽  
High Speed ◽  
Design Method ◽  
Image Acquisition ◽  
Detection Algorithm ◽  
The Real ◽  
Real Time Image ◽  
Sobel Edge Detection ◽  
Time Image

As the real-time image acquiring and processing need to be dealt with high speed, a image acquisition and preprocessing system is discussed in this paper. It is built on FPGA( field programmable gate array ) with pipelined and parallel technology. The configurable macro function modules provided by Altera company achieve the Sobel edge detection algorithm. The real-time display the image after edge detection works properly and The new design method shorten the development cycle.

The Design of Image Acquisition and Preprocess System Based on FPGA

2011 ◽  
Vol 71-78 ◽  
pp. 4269-4273
Author(s):  
Jie Jia ◽  
Jian Yong Lai ◽  
Gen Hua Zhang ◽  
Huan Ling
Keyword(s):  
Real Time ◽  
Data Streams ◽  
High Speed ◽  
Image Acquisition ◽  
Image Data ◽  
Ccd Camera ◽  
Median Filtering ◽  
Image Preprocessing ◽  
Filtering Algorithm ◽  
Ping Pong

To deal with the large amount of data and complex computing problems during high-speed image acquisition, the image acquisition and preprocess system based on FPGA is designed in the paper. In order to obtain continuous and integrity of image data streams, the design has completed the acquisition of CCD camera video signal and implementation of de-interlacing ping-pong cache. The fast median filtering algorithm is used for image preprocessing, and finally the preprocessed image data is displayed on CRT. Experiments indicate that the design meets requirements of image sample quality and balances the real-time demand.

CMOS Real-Time Image Acquisition and Display System Design Based on FPGA

2014 ◽  
Vol 644-650 ◽  
pp. 4403-4406
Author(s):  
Jian Wei Leng ◽  
Ying Hui Wu
Keyword(s):  
Data Acquisition ◽  
System Design ◽  
Real Time ◽  
High Speed ◽  
Image Acquisition ◽  
Control Unit ◽  
Image Sensor ◽  
Acquisition System ◽  
Sensor Data ◽  
Time Data

Based on characteristics of image acquisition system of high-speed and large-capacity, this paper presents a CMOS Image sensor data acquisition system that is using FPGA Chip as its core processing devices. Data acquisition logic control unit is designed by FPGA. The modular structure of the system design, FIFO, ping-pong and other technology are used in the design process to ensure real-time data acquisition and transmission. FPGA implementation of video acquisition can improve system performance. It also has a strong adaptability and flexibility, and it is easy to design, debug and so on. Through the experiment, we can get a clear image.

The Weld Image Acquisition and Preprocessing Based on FPGA

2013 ◽  
Vol 401-403 ◽  
pp. 1507-1513 ◽  
Author(s):  
Zhong Hu Yuan ◽  
Wen Tao Liu ◽  
Xiao Wei Han
Keyword(s):  
Image Processing ◽  
Real Time ◽  
High Speed ◽  
High Performance ◽  
Image Acquisition ◽  
Processing System ◽  
Large Data ◽  
Seam Tracking ◽  
Image Processing System ◽  
Time Requirements

In the weld image acquisition system, real-time image processing has been a difficult design bottleneck to break through, especially for the occasion of large data processing capability and more demanding real-time requirements, in which the traditional MCU can not adapt, so using high-performance FPGA as the core of the high speed image acquisition and processing card, better meets the large amount of data in most of the image processing system and high demanding real-time requirements. At the same time, system data collection, storage and display were implemented by using Verilog, and in order to reducing the influence of edge detection noise, the combination of image enhancement and median filtering image preprocessing algorithm was used. Compared to the pre-processing algorithm of the software implementation, it has a great speed advantage, and simplifies the subsequent processing work load, improves the speed and efficiency of the entire image processing system greatly. So it proves that the system has strong ability of restraining the noise of image, and more accurate extracted edge positioning, it can be applied in the seam tracking field which need higher real-time requirements.

Point-and-stare operation and high-speed image acquisition in real-time hyperspectral imaging

2010 ◽  
Author(s):  
Richard D. Driver ◽  
David P. Bannon ◽  
Domenic Ciccone ◽  
Sam L. Hill
Keyword(s):  
Real Time ◽  
Hyperspectral Imaging ◽  
High Speed ◽  
Image Acquisition

Towards real-time monitoring: data assimilated time-lapse full waveform inversion for seismic velocity and uncertainty estimation

2020 ◽  
Vol 223 (2) ◽  
pp. 811-824
Author(s):  
Chao Huang ◽  
Tieyuan Zhu
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Waveform Inversion ◽  
Time Lapse ◽  
Uncertainty Estimation ◽  
Covariance Matrices ◽  
Full Waveform Inversion ◽  
Full Waveform ◽  
Velocity Changes ◽  
Over Time

SUMMARY Rapid development of time-lapse seismic monitoring instrumentations has made it possible to collect dense time-lapse data for tomographically retrieving time-lapse (even continuous) images of subsurface changes. While traditional time-lapse full waveform inversion (TLFWI) algorithms are designed for sparse time-lapse surveys, they lack of effective temporal constraint on time-lapse data, and, more importantly, lack of the uncertainty estimation of the TLFWI results that is critical for further interpretation. Here, we propose a new data assimilation TLFWI method, using hierarchical matrix powered extended Kalman filter (HiEKF) to quantify the image uncertainty. Compared to existing Kalman filter algorithms, HiEKF allows to store and update a data-sparse representation of the cross-covariance matrices and propagate model errors without expensive operations involving covariance matrices. Hence, HiEKF is computationally efficient and applicable to 3-D TLFWI problems. Then, we reformulate TLFWI in the framework of HiEKF (termed hereafter as TLFWI-HiEKF) to predict time-lapse images of subsurface spatiotemporal velocity changes and simultaneously quantify the uncertainty of the inverted velocity changes over time. We demonstrate the validity and applicability of TLFWI–HiEKF with two realistic CO2 monitoring models derived from Frio-II and Cranfield CO2 injection sites, respectively. In both 2-D and 3-D examples, the inverted high-resolution time-lapse velocity results clearly reveal a continuous velocity reduction due to the injection of CO2. Moreover, the accuracy of the model is increasing over time by assimilating more time-lapse data while the standard deviation is decreasing over lapsed time. We expect TLFWI-HiEKF to be equipped with real-time seismic monitoring systems for continuously imaging the distribution of subsurface gas and fluids in the future large-scale CO2 sequestration experiments and reservoir management.

Parallel Outlier Detection for Streamed Data Using Non-Parameterized Approach

2017 ◽  
Vol 8 (2) ◽  
pp. 25-37
Author(s):  
Harshad Dattatray Markad ◽  
S. M. Sangve
Keyword(s):  
Real Time ◽  
Outlier Detection ◽  
Data Streams ◽  
High Speed ◽  
Time Frame ◽  
Abnormal Behavior ◽  
Processing Unit ◽  
Data Space ◽  
Real Time Analysis ◽  
Over Time

Outlier detection is used in various applications like detection of fraud, network analysis, monitoring traffic over networks, manufacturing and environmental software. The data streams which are generated are continuous and changing over time. This is the reason why it becomes nearly difficult to detect the outliers in the existing data which is huge and continuous in nature. The streamed data is real time and changes over time and hence it is impractical to store data in the data space and analyze it for abnormal behavior. The limitations in data space has led to the problem of real time analysis of data and processing it in FCFS basis. The results regarding the abnormal behavior have to be done very quickly and in a limited time frame and on an infinite set of data streams coming over the networks. To address the problem of detecting outliers on a real-time basis is a challenging task and hence has to be monitored with the help of the processing power used to design the graphics of any processing unit. The algorithm used in this paper uses a kernel function to accomplish the task. It produces timely outcome on high speed multi- dimensional data. This method increases the speed of outlier detection by 20 times and the speed goes on increasing with the increase with the number of data attributes and input data rate.

Development of High-Speed Image Acquisition and Processing System for Real-Time Plasma Control on EAST

2021 ◽  
pp. 1-9
Author(s):  
Qin Hang ◽  
Heng Zhang ◽  
Dalong Chen ◽  
Yao Huang ◽  
Bingjia Xiao ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Image Acquisition ◽  
Processing System ◽  
Plasma Control

Scanning x-ray fluorescence microscopy and principal component analysis

1992 ◽  
Vol 50 (2) ◽  
pp. 1752-1753
Author(s):  
Brian Cross
Keyword(s):  
Principal Component Analysis ◽  
Fluorescence Microscopy ◽  
Spatial Resolution ◽  
High Speed ◽  
Image Acquisition ◽  
Principal Component ◽  
Fluorescence Microscope ◽  
Acquisition Rate ◽  
X Ray ◽  
Speed Up

A relatively new entry, in the field of microscopy, is the Scanning X-Ray Fluorescence Microscope (SXRFM). Using this type of instrument (e.g. Kevex Omicron X-ray Microprobe), one can obtain multiple elemental x-ray images, from the analysis of materials which show heterogeneity. The SXRFM obtains images by collimating an x-ray beam (e.g. 100 μm diameter), and then scanning the sample with a high-speed x-y stage. To speed up the image acquisition, data is acquired "on-the-fly" by slew-scanning the stage along the x-axis, like a TV or SEM scan. To reduce the overhead from "fly-back," the images can be acquired by bi-directional scanning of the x-axis. This results in very little overhead with the re-positioning of the sample stage. The image acquisition rate is dominated by the x-ray acquisition rate. Therefore, the total x-ray image acquisition rate, using the SXRFM, is very comparable to an SEM. Although the x-ray spatial resolution of the SXRFM is worse than an SEM (say 100 vs. 2 μm), there are several other advantages.

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