scholarly journals Longitudinal evaluation of local muscle conditions in a rat model of gastrocnemius muscle injury using an in vivo imaging system

2015 ◽  
Vol 33 (7) ◽  
pp. 1034-1038 ◽  
Author(s):  
Kazuhide Inage ◽  
Yoshihiro Sakuma ◽  
Kazuyo Yamauchi ◽  
Akiko Suganami ◽  
Sumihisa Orita ◽  
...  
Keyword(s):  
Rat Model ◽  
In Vivo Imaging ◽  
Muscle Injury ◽  
Gastrocnemius Muscle ◽  
Imaging System ◽  
Longitudinal Evaluation ◽  
In Vivo Imaging System

scholarly journals Nanotechnology: from In Vivo Imaging System to Controlled Drug Delivery

2017 ◽  
Vol 12 (1) ◽  
Author(s):  
Maria Mir ◽  
Saba Ishtiaq ◽  
Samreen Rabia ◽  
Maryam Khatoon ◽  
Ahmad Zeb ◽  
...  
Keyword(s):  
Drug Delivery ◽  
In Vivo Imaging ◽  
Imaging System ◽  
Controlled Drug Delivery ◽  
In Vivo Imaging System

scholarly journals Preclinical orthotopic xenograft model of renal pelvis cancer in which cancer growth could be traced by an in vivo imaging system

2018 ◽  
Vol 26 (1) ◽  
pp. 138-139 ◽  
Author(s):  
Teruki Shimizu ◽  
Masatsugu Miyashita ◽  
Atsuko Fujihara ◽  
Fumiya Hongo ◽  
Osamu Ukimura ◽  
...  
Keyword(s):  
Renal Pelvis ◽  
In Vivo Imaging ◽  
Imaging System ◽  
Xenograft Model ◽  
Cancer Growth ◽  
Orthotopic Xenograft ◽  
Orthotopic Xenograft Model ◽  
In Vivo Imaging System

Use of In Vivo Imaging System Technology in Leishmania major BALB/c Mouse Ear Infection Studies

2017 ◽  
Vol 55 (2) ◽  
pp. 429-435 ◽  
Author(s):  
Alicia Cawlfield ◽  
Brian Vesely ◽  
Franklyn Ngundam ◽  
Kirk Butler ◽  
Dylan Nugent ◽  
...  
Keyword(s):  
In Vivo Imaging ◽  
Leishmania Major ◽  
Imaging System ◽  
System Technology ◽  
Ear Infection ◽  
Mouse Ear ◽  
In Vivo Imaging System

Abstract P066: Imaging Autophagy in Living Mice

2011 ◽  
Vol 109 (suppl_1) ◽  
Author(s):  
Roberta A Gottlieb ◽  
M R Sayen ◽  
Chengqun Huang ◽  
Jennifer Ramil ◽  
Bruce Ito ◽  
...  
Keyword(s):  
Transgenic Mice ◽  
Heavy Chain ◽  
In Vivo Imaging ◽  
Imaging System ◽  
Life Sciences ◽  
In Vivo Imaging System ◽  
First Time ◽  
Homeostatic Response ◽  
Caliper Life

Autophagy is a homeostatic response to cellular stress. It has been shown to be potently upregulated in the heart in response to a variety of interventions. However, to date, it has not been possible to monitor autophagy without sacrificing the animal. Here we report the use of the Caliper Life Sciences Spectrum In Vivo Imaging System (IVIS) to image autophagy in homozygous transgenic mice expressing mCherryLC3 under control of the alpha myosin heavy chain promoter. Autophagy was stimulated by the administration of rapamycin (2mg/kg), and autophagosomal flux was blocked by administration of chloroquine (10mg/kg) ip. Mice were imaged at baseline and four hours later, using a protocol of 3 acquisitions of 15 seconds each. Total flux was 3.19±0.72 before drug administration and 3.93+1.10 after 4 hr, p<;0.01, n=14. These results show for the first time imaging of autophagy in hearts of live mice.

Quantitative analysis of cell tracing by in vivo imaging system

2010 ◽  
Vol 30 (4) ◽  
pp. 541-545 ◽  
Author(s):  
Junmeng Zheng ◽  
Lijun Xu ◽  
Hongmin Zhou ◽  
Weina Zhang ◽  
Zhonghua Chen
Keyword(s):  
Quantitative Analysis ◽  
In Vivo Imaging ◽  
Imaging System ◽  
Cell Tracing ◽  
In Vivo Imaging System

scholarly journals In vivo imaging of the pathophysiological changes and neutrophil dynamics in influenza virus-infected mouse lungs

2018 ◽  
Vol 115 (28) ◽  
pp. E6622-E6629 ◽  
Author(s):  
Hiroshi Ueki ◽  
I-Hsuan Wang ◽  
Satoshi Fukuyama ◽  
Hiroaki Katsura ◽  
Tiago Jose da Silva Lopes ◽  
...  
Keyword(s):  
Influenza Virus ◽  
In Vivo Imaging ◽  
Imaging System ◽  
Influenza Viruses ◽  
Physiological Changes ◽  
Virus Infections ◽  
H5n1 Influenza ◽  
Photon Excitation ◽  
In Vivo Imaging System

The pathophysiological changes that occur in lungs infected with influenza viruses are poorly understood. Here we established an in vivo imaging system that combines two-photon excitation microscopy and fluorescent influenza viruses of different pathogenicity. This approach allowed us to monitor and correlate several parameters and physiological changes including the spread of infection, pulmonary permeability, pulmonary perfusion speed, number of recruited neutrophils in infected lungs, and neutrophil motion in the lungs of live mice. Several physiological changes were larger and occurred earlier in mice infected with a highly pathogenic H5N1 influenza virus compared with those infected with a mouse-adapted human strain. These findings demonstrate the potential of our in vivo imaging system to provide novel information about the pathophysiological consequences of virus infections.

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