scholarly journals Inside Front Cover: Label-free bacterial colony detection and viability assessment by continuous-wave terahertz transmission imaging (J. Biophotonics 8/2018)

2018 ◽  
Vol 11 (8) ◽  
pp. e201870152
Author(s):  
Xiang Yang ◽  
Jia Shi ◽  
Yuye Wang ◽  
Ke Yang ◽  
Xiang Zhao ◽  
...  
Keyword(s):  
Continuous Wave ◽  
Label Free ◽  
Viability Assessment ◽  
Bacterial Colony ◽  
Front Cover ◽  
Transmission Imaging ◽  
Terahertz Transmission

Label-free bacterial colony detection and viability assessment by continuous-wave terahertz transmission imaging

2018 ◽  
Vol 11 (8) ◽  
pp. e201700386 ◽  
Author(s):  
Xiang Yang ◽  
Jia Shi ◽  
Yuye Wang ◽  
Ke Yang ◽  
Xiang Zhao ◽  
...  
Keyword(s):  
Continuous Wave ◽  
Label Free ◽  
Viability Assessment ◽  
Bacterial Colony ◽  
Transmission Imaging ◽  
Terahertz Transmission

Continuous wave terahertz transmission imaging of nonmelanoma skin cancers

2011 ◽  
Vol 43 (6) ◽  
pp. 457-462 ◽  
Author(s):  
Cecil S. Joseph ◽  
Anna N. Yaroslavsky ◽  
Victor A. Neel ◽  
Thomas M. Goyette ◽  
Robert H. Giles
Keyword(s):  
Continuous Wave ◽  
Transmission Imaging ◽  
Skin Cancers ◽  
Terahertz Transmission ◽  
Nonmelanoma Skin Cancers

Dual-frequency continuous-wave terahertz transmission imaging of nonmelanoma skin cancers

2010 ◽  
Author(s):  
Cecil S. Joseph ◽  
Anna N. Yaroslavsky ◽  
Julie L. Lagraves ◽  
Thomas M. Goyette ◽  
Robert H. Giles
Keyword(s):  
Continuous Wave ◽  
Dual Frequency ◽  
Transmission Imaging ◽  
Skin Cancers ◽  
Terahertz Transmission ◽  
Nonmelanoma Skin Cancers

scholarly journals Continuous-Wave THz Imaging for Biomedical Samples

2020 ◽  
Vol 11 (1) ◽  
pp. 71
Author(s):  
Yaya Zhang ◽  
Chuting Wang ◽  
Bingxin Huai ◽  
Shiyu Wang ◽  
Yating Zhang ◽  
...  
Keyword(s):  
Medical Imaging ◽  
Biomedical Imaging ◽  
Continuous Wave ◽  
Biological Tissues ◽  
Thz Spectroscopy ◽  
Label Free ◽  
Thz Imaging ◽  
Malignant Tumours ◽  
Advantages And Disadvantages ◽  
Imaging Application

In the past few decades, the applications of terahertz (THz) spectroscopy and imaging technology have seen significant developments in the fields of biology, medical diagnosis, food safety, and nondestructive testing. Label-free diagnosis of malignant tumours has been obtained and also achieved significant development in THz biomedical imaging. This review mainly presents the research status and prospects of several common continuous-wave (CW) THz medical imaging systems and applications of THz medical imaging in biological tissues. Here, we first introduce the properties of THz waves and how these properties play a role in biomedical imaging. Then, we analyse both the advantages and disadvantages of the CW THz imaging methods and the progress of these methods in THz biomedical imaging in recent ten years. Finally, we summarise the obstacles in the way of the application of THz bio-imaging application technology in clinical detection, which need to be investigated and overcome in the future.

scholarly journals mSphere of Influence: the Rise of Artificial Intelligence in Infection Biology

mSphere ◽  
2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Artur Yakimovich
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Machine Learning Algorithms ◽  
Label Free ◽  
Edge Label ◽  
Bacterial Colony ◽  
Link Type ◽  
Colony Counting ◽  
Anthrax Spores ◽  
Infection Biology

ABSTRACT Artur Yakimovich works in the field of computational virology and applies machine learning algorithms to study host-pathogen interactions. In this mSphere of Influence article, he reflects on two papers “Holographic Deep Learning for Rapid Optical Screening of Anthrax Spores” by Jo et al. (Y. Jo, S. Park, J. Jung, J. Yoon, et al., Sci Adv 3:e1700606, 2017, https://doi.org/10.1126/sciadv.1700606) and “Bacterial Colony Counting with Convolutional Neural Networks in Digital Microbiology Imaging” by Ferrari and colleagues (A. Ferrari, S. Lombardi, and A. Signoroni, Pattern Recognition 61:629–640, 2017, https://doi.org/10.1016/j.patcog.2016.07.016). Here he discusses how these papers made an impact on him by showcasing that artificial intelligence algorithms can be equally applicable to both classical infection biology techniques and cutting-edge label-free imaging of pathogens.

scholarly journals Label-Free Study of the Global Cell Behavior during Exposure to Environmental Radiofrequency Fields in the Presence or Absence of Pro-Apoptotic or Pro-Autophagic Treatments

2022 ◽  
Vol 23 (2) ◽  
pp. 658
Author(s):  
Alexandre Joushomme ◽  
André Garenne ◽  
Mélody Dufossée ◽  
Rémy Renom ◽  
Hermanus Johannes Ruigrok ◽  
...  
Keyword(s):  
Mobile Communications ◽  
Cellular Response ◽  
Continuous Wave ◽  
Digital Holographic Microscopy ◽  
Label Free ◽  
Environmental Signals ◽  
Chemical Treatments ◽  
Rf Exposure ◽  
Universal Mobile Telecommunications System

It remains controversial whether exposure to environmental radiofrequency signals (RF) impacts cell status or response to cellular stress such as apoptosis or autophagy. We used two label-free techniques, cellular impedancemetry and Digital Holographic Microscopy (DHM), to assess the overall cellular response during RF exposure alone, or during co-exposure to RF and chemical treatments known to induce either apoptosis or autophagy. Two human cell lines (SH-SY5Y and HCT116) and two cultures of primary rat cortex cells (astrocytes and co-culture of neurons and glial cells) were exposed to RF using an 1800 MHz carrier wave modulated with various environmental signals (GSM: Global System for Mobile Communications, 2G signal), UMTS (Universal Mobile Telecommunications System, 3G signal), LTE (Long-Term Evolution, 4G signal, and Wi-Fi) or unmodulated RF (continuous wave, CW). The specific absorption rates (S.A.R.) used were 1.5 and 6 W/kg during DHM experiments and ranged from 5 to 24 W/kg during the recording of cellular impedance. Cells were continuously exposed for three to five consecutive days while the temporal phenotypic signature of cells behavior was recorded at constant temperature. Statistical analysis of the results does not indicate that RF-EMF exposure impacted the global behavior of healthy, apoptotic, or autophagic cells, even at S.A.R. levels higher than the guidelines, provided that the temperature was kept constant.

scholarly journals Terahertz Detection of Zika Viruses

2020 ◽  
Author(s):  
Subhashish Dolai ◽  
Massood Tabib-Azar
Keyword(s):  
Electromagnetic Waves ◽  
Direct Detection ◽  
Petri Dish ◽  
Label Free ◽  
Low Loss ◽  
Terahertz Detection ◽  
Label Free Detection ◽  
Terahertz Transmission ◽  
First Time ◽  
Thick Glass

Our main objective in this work was to examine the possibility of non-intrusive, label-free, detection of whole Zika viruses using terahertz signals with or without a targeting/binding oligonucleotide (aptamers). We report for the first time the use of terahertz electromagnetic waves (0.75 THz – 1.1 THz) to detect Zika viruses. The Zika/aptamer complexes showed a reproducible terahertz reflection coefficient minimum at 1.064 THz while the Zika virus’s reflection minimum was at 1.073 THz. Of different substrates we examined, the polyester petri dish provided a very low loss and excellent terahertz transmission. To increase the interaction between the terahertz signal and the sample we also used polyester microbeads coated with aptamers. We then measured the terahertz reflection from the microbeads as a function of Zika concentration. The resulting terahertz Zika sensor had sensitivity of 63 Hz/Zika and minimum detectable signal of ~ 16x103 Zika. Other substrates such as Graphene on polyethylene terephthalate (PET), 50 nm-thick gold film on polycarbonate, thin (30 um-thick) glass slide and Teflon were also examined. Graphene substrate enabled direct detection of the Zika without any aptamers.

Sign in / Sign up

Export Citation Format

Share Document