scholarly journals On chip two-photon metabolic imaging for drug toxicity testing

2017 ◽  
Vol 11 (3) ◽  
pp. 034108 ◽  
Author(s):  
Fang Yu ◽  
Shuangmu Zhuo ◽  
Yinghua Qu ◽  
Deepak Choudhury ◽  
Zhiping Wang ◽  
...  
RSC Advances ◽  
2018 ◽  
Vol 8 (65) ◽  
pp. 36987-36998 ◽  
Author(s):  
Shengli Mi ◽  
Baihan Li ◽  
Xiaoman Yi ◽  
Yuanyuan Xu ◽  
Zhichang Du ◽  
...  

Liver-on-chip, due to its precision and low cost for constructing in vitro models, has tremendous potential for drug toxicity testing and pathological studies.


2020 ◽  
Vol 30 (11) ◽  
pp. 115013
Author(s):  
Hafiz Muhammad Umer Farooqi ◽  
Muhammad Asad Ullah Khalid ◽  
Kyung Hwan Kim ◽  
Sun Ryung Lee ◽  
Kyung Hyun Choi

2020 ◽  
Vol 7 (7) ◽  
pp. 1782-1789 ◽  
Author(s):  
Meng-Dan Qian ◽  
Yun-Lu Sun ◽  
Zhi-Yong Hu ◽  
Xiao-Feng Fang ◽  
Jin-Long Zhu ◽  
...  

Single/two-photon-lithographically fabricated “smart” active micro/nano-optics are composed of covalently co-crosslinked SU-8/AIEoxe for the on-chip-integratable direct detection of various VOCs in aqueous solution.


1987 ◽  
Vol 5 (2) ◽  
pp. 161-165 ◽  
Author(s):  
Rob van Lambalgen ◽  
Peter Lelieveld

2012 ◽  
Vol 18 (4) ◽  
pp. 761-770 ◽  
Author(s):  
Jorge Vergen ◽  
Clifford Hecht ◽  
Lyandysha V. Zholudeva ◽  
Meg M. Marquardt ◽  
Richard Hallworth ◽  
...  

AbstractMetabolism and mitochondrial dysfunction are known to be involved in many different disease states. We have employed two-photon fluorescence imaging of intrinsic mitochondrial reduced nicotinamide adenine dinucleotide (NADH) to quantify the metabolic state of several cultured cell lines, multicell tumor spheroids, and the intact mouse organ of Corti. Historically, fluorescence intensity has commonly been used as an indicator of the NADH concentration in cells and tissues. More recently, fluorescence lifetime imaging has revealed that changes in metabolism produce not only changes in fluorescence intensity, but also significant changes in the lifetimes and concentrations of free and enzyme-bound pools of NADH. Since NADH binding changes with metabolic state, this approach presents a new opportunity to track the cellular metabolic state.


2020 ◽  
Author(s):  
Faiza Jabbar ◽  
Young Su Kim ◽  
Afaque Manzoor Soomro ◽  
Arun Asif ◽  
Young Jae Cho ◽  
...  

Abstract Background Particulate matter (PM10) pollution around the globe is a major risk factor for inducing respiratory diseases, How-ever such environmental conditions are a challenge to study in trans-well culture system. Micro-physiological system offers potential for mimicking these phenomena for better understanding of possible hazards to human respiratory health. In this study we are introducing an efficient alveolus on a chip for reconstituting this environmental condition in a microfluidic device by in house built TEER sensor, system embedded pH sensor and portable microscope for continuous monitoring of the alveolus on chip. Results Three environmental conditions with respect to particulate matter in air Moderate 7.5 μg/ml , Poor 37.5 μg/ml and very poor 151 μg/ml of particulate matter exposure was executed in our microfluidic system. Our study provides physiological and toxicological data of the stimulated environmental condition by inflammatory markers of respiratory disease which leads to the identification of asthma and COPD, our claims were validated by confocal microscopy and ELISA. Significant increase in IL-13, IL-6 and Mucin advocated the incidence of asthma and COPD like conditions in our organ on chip. Conclusion This study will lead to identification of potential therapeutics to study physiological and pathological conditions and will help in preventing chronic life-threatening toxicities. This device has provided the preliminary information for making this breakthrough in organ-on-chip technology. In future his device would help to make complex tissue mimetics of human for toxicity testing and drug discovery with system integrated pathological sensors for replacing time consuming molecular analysis of pathological conditions.


Author(s):  
Tian Tian ◽  
Chen Chen ◽  
Hebin Sun ◽  
Jianan Hui ◽  
Yuqing Ge ◽  
...  
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