scholarly journals Instant ghost imaging: algorithm and on-chip implementation

2020 ◽  
Vol 28 (3) ◽  
pp. 3607 ◽  
Author(s):  
Zhe Yang ◽  
Wei-Xing Zhang ◽  
Yi-Pu Liu ◽  
Dong Ruan ◽  
Jun-Lin Li
Keyword(s):  
Ghost Imaging ◽  
Imaging Algorithm ◽  
On Chip

scholarly journals Instant single-pixel imaging: on-chip real-time implementation based on the instant ghost imaging algorithm

OSA Continuum ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 629
Author(s):  
Zhe Yang ◽  
Jun Liu ◽  
Wei-Xing Zhang ◽  
Dong Ruan ◽  
Jun-Lin Li
Keyword(s):  
Real Time ◽  
Ghost Imaging ◽  
Imaging Algorithm ◽  
On Chip ◽  
Single Pixel

Information transmission based on a Fourier transform and ascending coding temporal ghost imaging algorithm

Laser Physics ◽  
2020 ◽  
Vol 30 (12) ◽  
pp. 125202
Author(s):  
Ye Hualong ◽  
Zhang Leihong ◽  
Chen Jian ◽  
Wang Kaimin ◽  
Zhang Dawei ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Information Transmission ◽  
Ghost Imaging ◽  
Imaging Algorithm

scholarly journals Low-Cost Low-Power Acceleration of a Microwave Imaging Algorithm for Brain Stroke Monitoring

2018 ◽  
Vol 8 (4) ◽  
pp. 43 ◽  
Author(s):  
Imran Sarwar ◽  
Giovanna Turvani ◽  
Mario Casu ◽  
Jorge Tobon ◽  
Francesca Vipiana ◽  
...  
Keyword(s):  
Hemorrhagic Stroke ◽  
Low Cost ◽  
Hardware Acceleration ◽  
Microwave Imaging ◽  
Imaging Algorithm ◽  
Speed Increase ◽  
Accuracy And Precision ◽  
Dielectric Contrast ◽  
Brain Stroke ◽  
On Chip

Microwave imaging can effectively image the evolution of a hemorrhagic stroke thanks to the dielectric contrast between the blood and the surrounding brain tissues. To keep low both the form factor and the power consumption in a bedside device, we propose implementing a microwave imaging algorithm for stroke monitoring in a programmable system-on-chip, in which a simple ARM-based CPU offloads to an FPGA the heavy part of the computation. Compared to a full-software implementation in the ARM CPU, we obtain a 5× speed increase with hardware acceleration without loss in accuracy and precision.

Gut microbiome a promising target for management of respiratory diseases

2020 ◽  
Vol 477 (14) ◽  
pp. 2679-2696
Author(s):  
Riddhi Trivedi ◽  
Kalyani Barve
Keyword(s):  
Respiratory Diseases ◽  
New Technology ◽  
Bacterial Flora ◽  
Systemic Circulation ◽  
The Body ◽  
Lung Pathology ◽  
Promising Target ◽  
Current Therapies ◽  
Intestinal Microbial Flora ◽  
On Chip

The intestinal microbial flora has risen to be one of the important etiological factors in the development of diseases like colorectal cancer, obesity, diabetes, inflammatory bowel disease, anxiety and Parkinson's. The emergence of the association between bacterial flora and lungs led to the discovery of the gut–lung axis. Dysbiosis of several species of colonic bacteria such as Firmicutes and Bacteroidetes and transfer of these bacteria from gut to lungs via lymphatic and systemic circulation are associated with several respiratory diseases such as lung cancer, asthma, tuberculosis, cystic fibrosis, etc. Current therapies for dysbiosis include use of probiotics, prebiotics and synbiotics to restore the balance between various species of beneficial bacteria. Various approaches like nanotechnology and microencapsulation have been explored to increase the permeability and viability of probiotics in the body. The need of the day is comprehensive study of mechanisms behind dysbiosis, translocation of microbiota from gut to lung through various channels and new technology for evaluating treatment to correct this dysbiosis which in turn can be used to manage various respiratory diseases. Microfluidics and organ on chip model are emerging technologies that can satisfy these needs. This review gives an overview of colonic commensals in lung pathology and novel systems that help in alleviating symptoms of lung diseases. We have also hypothesized new models to help in understanding bacterial pathways involved in the gut–lung axis as well as act as a futuristic approach in finding treatment of respiratory diseases caused by dysbiosis.

Sign in / Sign up

Export Citation Format

Share Document