Design of a wireless telemetric backpack device for real-time in vivo measurement of pressure-volume loops in conscious ambulatory rats

Author(s):  
Karthik Raghavan ◽  
Anil T. G. Kottam ◽  
Jonathan W. Valvano ◽  
John A. Pearce
2009 ◽  
Vol 23 (3) ◽  
pp. 373-378 ◽  
Author(s):  
Sero Andonian ◽  
Tonya Coulthard ◽  
Arthur D. Smith ◽  
Pravin S. Singhal ◽  
Benjamin R. Lee

2013 ◽  
Vol 25 (7) ◽  
pp. 1757-1763 ◽  
Author(s):  
Nuno R. Ferreira ◽  
Ricardo M. Santos ◽  
João Laranjinha ◽  
Rui M. Barbosa

2009 ◽  
Vol 181 (4S) ◽  
pp. 807-807
Author(s):  
Sero Andonian ◽  
Tonya Coulthard ◽  
Pravin S Singhal ◽  
Arthur D Smith ◽  
Benajamin R Lee

2022 ◽  
Author(s):  
Peter S Johnstone ◽  
Maite Ogueta ◽  
Inan Top ◽  
Sheyum Syed ◽  
Ralf Stanewsky ◽  
...  

Circadian clocks are highly conserved transcriptional regulators that control 24-hour oscillations in gene expression, physiological function, and behavior. Circadian clocks exist in almost every tissue and are thought to control tissue-specific gene expression and function, synchronized by the brain clock. Many disease states are associated with loss of circadian regulation. How and when circadian clocks fail during pathogenesis remains largely unknown because it is currently difficult to monitor tissue-specific clock function in intact organisms. Here, we developed a method to directly measure the transcriptional oscillation of distinct neuronal and peripheral clocks in live, intact Drosophila, which we term Locally Activatable BioLuminescence or LABL. Using this method, we observed that specific neuronal and peripheral clocks exhibit distinct transcription properties. Loss of the receptor for PDF, a circadian neurotransmitter critical for the function of the brain clock, disrupts circadian locomotor activity but not all tissue-specific circadian clocks; we found that, while peripheral clocks in non-neuronal tissues were less stable after the loss of PDF signaling, they continued to oscillate. This result suggests that the presumed dominance of the brain clock in regulating peripheral clocks needs to be re-examined. This result further demonstrates that LABL allows rapid, affordable, and direct real-time monitoring of clocks in vivo.


1995 ◽  
Vol 10 (7) ◽  
pp. 1638-1641 ◽  
Author(s):  
Y. Paltieli ◽  
A. Weichselbaum ◽  
N. Hoffman ◽  
I. Eibschitz ◽  
Z. Kam

2009 ◽  
Vol 3 (2) ◽  
Author(s):  
B. Pereles ◽  
E. Tan ◽  
K. Ong

There is a need to measure contact pressures at the femoral component and tibia plate of a knee arthroplasty implant to determine the wear and tear of the polyethylene (PE) insert of the implant. Today, most pressure monitoring systems for knee arthroplasty implants are either limited to in vitro or intraoperative use, or cannot measure contact pressures at the polyethylene surface. Here, we are developing a wireless passive sensor system for measuring the contact pressure at the knee arthroplasty in vivo. The sensor system is made of a pressure-sensitive magnetic layer embedded under the top surface of a PE insert used for mapping the contact pressures with the femoral components. The pressure-sensing layer consists of a grid of pressure and stress sensitive magnetoelastic thin strips that alter their magnetic properties with applied force. Measurements are taken at pressure points located at the crossings of the grid. The magnetization of each sensing strip is remotely measured by using an AC magnetic field to excite the material to generate higher-frequency fields, which are then detected through external detection coils. The responses of these sensing strips are fed into an algorithm to determine the pressure loadings at all pressure points, which allows for real-time, in vivo determination of pressure profiles on the PE insert. By using an array of magnetoelastic sensing strips, we have demonstrated the remote detection of pressure across a surface. The 2nd order harmonic amplitude of a 30 mm×1.5mm magnetoelastic strip decreased linearly with increasing pressure. For this sensing strip, the rate of decrease was about 0.1 (normalized to unstressed signal level) per 200 kPa. An algorithm was also developed to determine the pressures at all pressure points from the responses of the sensing strips. Experimental results have shown that the algorithm can accurately map the pressure profile of a 3×3 sensing strip array. Further works include developing a fabrication process for safely embedding the sensing strips into a PE insert, and modifying the algorithm for a larger sensing strip array.


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