Patch resonator for non-invasive detection of dielectric property changes in biological tissues

2012 ◽  
Author(s):  
Tuba Yilmaz ◽  
Robert Foster ◽  
Yang Hao
Keyword(s):  
Dielectric Property ◽  
Biological Tissues ◽  
Non Invasive ◽  
Property Changes

scholarly journals Remote-controlled insect navigation using plasmonic nanotattoos

2020 ◽  
Author(s):  
Sirimuvva Tadepalli ◽  
Sisi Cao ◽  
Debajit Saha ◽  
Keng-Ku Liu ◽  
Alex Chen ◽  
...  
Keyword(s):  
Region Of Interest ◽  
Biological Tissues ◽  
Plasmonic Nanostructures ◽  
Insect Navigation ◽  
Non Invasive ◽  
Limiting Step ◽  
Engineering Problems ◽  
Complex Engineering ◽  
Recognition Elements ◽  
Insect Antenna

Developing insect cyborgs by integrating external components (optical, electrical or mechanical) with biological counterparts has a potential to offer elegant solutions for complex engineering problems.1 A key limiting step in the development of such biorobots arises at the nano-bio interface, i.e. between the organism and the nano implant that offers remote controllability.1,2 Often, invasive procedures are necessary that tend to severely compromise the navigation capabilities as well as the longevity of such biorobots. Therefore, we sought to develop a non-invasive solution using plasmonic nanostructures that can be photoexcited to generate heat with spatial and temporal control. We designed a ‘nanotattoo’ using silk that can interface the plasmonic nanostructures with a biological tissue. Our results reveal that both structural and functional integrity of the biological tissues such as insect antenna, compound eyes and wings were preserved after the attachment of the nanotattoo. Finally, we demonstrate that insects with the plasmonic nanotattoos can be remote controlled using light and integrated with functional recognition elements to detect the chemical environment in the region of interest. In sum, we believe that the proposed technology will play a crucial role in the emerging fields of biorobotics and other nano-bio applications.

Investigation of chemical composition of meat using spatially off-set Raman spectroscopy

The Analyst ◽  
2019 ◽  
Vol 144 (8) ◽  
pp. 2618-2627 ◽  
Author(s):  
Saeideh Ostovar pour ◽  
Stephanie M. Fowler ◽  
David L. Hopkins ◽  
Peter J. Torley ◽  
Harsharn Gill ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Chemical Composition ◽  
Biological Tissues ◽  
Non Invasive

Spatially off-set Raman spectroscopy (SORS) offers non-invasive chemical characterisation of the sub-surface of various biological tissues as it permits the assessment of diffusely scattering samples at depths of several orders of magnitude deeper than conventional Raman spectroscopy.

Improved microwave biosensor for non-invasive dielectric characterization of biological tissues

2019 ◽  
Vol 88 ◽  
pp. 137-144 ◽  
Author(s):  
F. Deshours ◽  
G. Alquié ◽  
H. Kokabi ◽  
K. Rachedi ◽  
M. Tlili ◽  
...  
Keyword(s):  
Biological Tissues ◽  
Dielectric Characterization ◽  
Non Invasive

scholarly journals A Robust Method for Adjustment of Laser Speckle Contrast Imaging during Transcranial Mouse Brain Visualization

Photonics ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 80 ◽  
Author(s):  
Vyacheslav Kalchenko ◽  
Anton Sdobnov ◽  
Igor Meglinski ◽  
Yuri Kuznetsov ◽  
Guillaume Molodij ◽  
...  
Keyword(s):  
Biological Tissues ◽  
Laser Speckle ◽  
Robust Method ◽  
Scattering Media ◽  
Contrast Imaging ◽  
Speckle Contrast ◽  
Non Invasive ◽  
Sagittal Sinus ◽  
Brain Vasculature

Laser speckle imaging (LSI) is a well-known and useful approach for the non-invasive visualization of flows and microcirculation localized in turbid scattering media, including biological tissues (such as brain vasculature, skin capillaries etc.). Despite an extensive use of LSI for brain imaging, the LSI technique has several critical limitations. One of them is associated with inability to resolve a functionality of vessels. This limitation also leads to the systematic error in the quantitative interpretation of values of speckle contrast obtained for different vessel types, such as sagittal sinus, arteries, and veins. Here, utilizing a combined use of LSI and fluorescent intravital microscopy (FIM), we present a simple and robust method to overcome the limitations mentioned above for the LSI approach. The proposed technique provides more relevant, abundant, and valuable information regarding perfusion rate ration between different types of vessels that makes this method highly useful for in vivo brain surgical operations.

scholarly journals Recent Advances in Ultrasound Diagnosis of Carpal Tunnel Syndrome

Diagnostics ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 596 ◽  
Author(s):  
Yuichi Yoshii ◽  
Chunfeng Zhao ◽  
Peter C. Amadio
Keyword(s):  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
New Technologies ◽  
Cross Sectional ◽  
Ultrasonic Examination ◽  
Non Invasive ◽  
Syndrome Diagnosis ◽  
Tunnel Syndrome ◽  
Property Changes ◽  
High Resolution Ultrasonography

With the widespread use of high-resolution ultrasonography, ultrasonic examination has been shown to be useful as a diagnostic method for carpal tunnel syndrome. The main advantages of ultrasonography are that it is simple, quick, non-invasive, and economical. Another advantage is that tissue dynamics can be observed with real-time imaging. In recent reports, it has been shown that ultrasonic examination can provide similar diagnostic accuracy as nerve conduction study in the diagnosis of carpal tunnel syndrome. It has been expected that ultrasound demand in daily medical care will continue to increase. Ultrasonography in carpal tunnel syndrome shows an enlarged median nerve in proximal carpal tunnel, thickening of the flexor retinaculum, and edema around flexor tendons in cross-sectional images. In addition, with the introduction of new technologies such as ultrasonic elastography and speckle tracking, it has become possible to quantify dynamics and material property changes of nerves, tendons, and their surrounding structures. In this review, we describe recent advancements of carpal tunnel syndrome diagnosis based on ultrasound dynamic images, and discuss its pathology.

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