scholarly journals Holotomographic imaging of eukaryotic cells

2021 ◽  
Author(s):  
YoungJu Jo ◽  
Wei Sun Park ◽  
YongKeun Park

Abstract Holotomography measures 3D refractive index (RI) distribution in cells and tissues without exogenous labeling. Here we describe a protocol for holotomographic imaging of generic eukaryotic cells using a standardized Tomocube holotomographic microscope. Combined with the recent advances in machine learning, holotomographic imaging enables a broad range of new biological and medical applications.

2019 ◽  
Vol 10 (36) ◽  
pp. 8374-8383 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Aditya Sonpal ◽  
Mojtaba Haghighatlari ◽  
Andrew J. Schultz ◽  
Johannes Hachmann

Computational pipeline for the accelerated discovery of organic materials with high refractive index via high-throughput screening and machine learning.


2000 ◽  
pp. 203-247 ◽  
Author(s):  
Vladimir N. Kestelman ◽  
Leonid S. Pinchuk ◽  
Victor A. Goldade

2020 ◽  
Vol 15 ◽  
Author(s):  
Thomas D Heseltine ◽  
Scott W Murray ◽  
Balazs Ruzsics ◽  
Michael Fisher

Recent rapid technological advancements in cardiac CT have improved image quality and reduced radiation exposure to patients. Furthermore, key insights from large cohort trials have helped delineate cardiovascular disease risk as a function of overall coronary plaque burden and the morphological appearance of individual plaques. The advent of CT-derived fractional flow reserve promises to establish an anatomical and functional test within one modality. Recent data examining the short-term impact of CT-derived fractional flow reserve on downstream care and clinical outcomes have been published. In addition, machine learning is a concept that is being increasingly applied to diagnostic medicine. Over the coming decade, machine learning will begin to be integrated into cardiac CT, and will potentially make a tangible difference to how this modality evolves. The authors have performed an extensive literature review and comprehensive analysis of the recent advances in cardiac CT. They review how recent advances currently impact on clinical care and potential future directions for this imaging modality.


2018 ◽  
Vol 13 (2) ◽  
pp. 94-101 ◽  
Author(s):  
Hao Ye ◽  
Le Liang ◽  
Geoffrey Ye Li ◽  
JoonBeom Kim ◽  
Lu Lu ◽  
...  

2018 ◽  
Vol 400 (1) ◽  
pp. 39-62 ◽  
Author(s):  
Nagendra Kumar Kaushik ◽  
Bhagirath Ghimire ◽  
Ying Li ◽  
Manish Adhikari ◽  
Mayura Veerana ◽  
...  

Abstract Non-thermal atmospheric pressure plasma has been proposed as a new tool for various biological and medical applications. Plasma in close proximity to cell culture media or water creates reactive oxygen and nitrogen species containing solutions known as plasma-activated media (PAM) or plasma-activated water (PAW) – the latter even displays acidification. These plasma-treated solutions remain stable for several days with respect to the storage temperature. Recently, PAM and PAW have been widely studied for many biomedical applications. Here, we reviewed promising reports demonstrating plasma-liquid interaction chemistry and the application of PAM or PAW as an anti-cancer, anti-metastatic, antimicrobial, regenerative medicine for blood coagulation and even as a dental treatment agent. We also discuss the role of PAM on cancer initiation cells (spheroids or cancer stem cells), on the epithelial mesenchymal transition (EMT), and when used for metastasis inhibition considering its anticancer effects. The roles of PAW in controlling plant disease, seed decontamination, seed germination and plant growth are also considered in this review. Finally, we emphasize the future prospects of PAM, PAW or plasma-activated solutions in biomedical applications with a discussion of the mechanisms and the stability and safety issues in relation to humans.


2020 ◽  
Vol 127 (21) ◽  
pp. 215105 ◽  
Author(s):  
Jordan P. Lightstone ◽  
Lihua Chen ◽  
Chiho Kim ◽  
Rohit Batra ◽  
Rampi Ramprasad

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