scholarly journals Quantification of Thyromimetic Sobetirome Concentration in Biological Tissue Samples

2018 ◽  
pp. 193-206 ◽  
Author(s):  
Jordan Devereaux ◽  
Skylar J. Ferrara ◽  
Thomas S. Scanlan
Keyword(s):  
Biological Tissue ◽  
Tissue Samples

Laboratory Specimens and Genetic Privacy: Evolution of Legal Theory

2013 ◽  
Vol 41 (S1) ◽  
pp. 65-68 ◽  
Author(s):  
Michelle Huckaby Lewis
Keyword(s):  
Biomedical Research ◽  
Biological Samples ◽  
Biological Tissue ◽  
Genetic Information ◽  
Legal Theory ◽  
Genetic Privacy ◽  
Tissue Samples

Human biological tissue samples are an invaluable resource for biomedical research designed to find causes of diseases and their treatments. Controversy has arisen, however, when research has been conducted with laboratory specimens either without the consent of the source of the specimen or when the research conducted with the specimen has expanded beyond the scope of the original consent agreement. Moreover, disputes have arisen regarding which party, the researcher or the source of the specimen, has control over who may use the specimens and for what purposes. The purposes of this article are: (1) to summarize the most important litigation regarding the use of laboratory specimens, and (2) to demonstrate how legal theory regarding control of laboratory specimens has evolved from arguments based upon property interests in biological samples to claims that the origins of laboratory specimens have privacy interests in their genetic information that should be protected.

Serial Block-Face Scanning Electron Microscopy (SBF-SEM) of Biological Tissue Samples

10.3791/62045 ◽  
2021 ◽  
Author(s):  
Justin A. Courson ◽  
Paul T. Landry ◽  
Thao Do ◽  
Eric Spehlmann ◽  
Pascal J. Lafontant ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Biological Tissue ◽  
Tissue Samples ◽  
Face Scanning ◽  
Block Face ◽  
Scanning Electron

scholarly journals An image formation model for Secondary Ion Mass Spectrometry imaging of biological tissue samples

2010 ◽  
Vol 257 (4) ◽  
pp. 1267-1275 ◽  
Author(s):  
Gaia Volandri ◽  
Luca Menichetti ◽  
Marco Matteucci ◽  
Claudia Kusmic ◽  
Marco Consumi ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Biological Tissue ◽  
Mass Spectrometry Imaging ◽  
Secondary Ion Mass Spectrometry ◽  
Image Formation ◽  
Formation Model ◽  
Tissue Samples ◽  
Ion Mass Spectrometry ◽  
Secondary Ion

Optimization of Coated Blade Spray for Rapid Screening and Quantitation of 105 Veterinary Drugs in Biological Tissue Samples

2020 ◽  
Vol 92 (8) ◽  
pp. 5937-5943 ◽  
Author(s):  
Abir Khaled ◽  
Germán Augusto Gómez-Ríos ◽  
Janusz Pawliszyn
Keyword(s):  
Biological Tissue ◽  
Veterinary Drugs ◽  
Rapid Screening ◽  
Tissue Samples

scholarly journals Spatiotemporal Characterizations of Spontaneously Beating Cardiomyocytes with Adaptive Reference Digital Image Correlation

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Akankshya Shradhanjali ◽  
Brandon D. Riehl ◽  
Bin Duan ◽  
Ruiguo Yang ◽  
Jung Yul Lim
Keyword(s):  
Regenerative Medicine ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Biological Tissue ◽  
Image Correlation ◽  
Myocardial Tissue ◽  
Tissue Development ◽  
Tissue Samples ◽  
Non Invasive ◽  
Spatiotemporal Parameters

AbstractWe developed an Adaptive Reference-Digital Image Correlation (AR-DIC) method that enables unbiased and accurate mechanics measurements of moving biological tissue samples. We applied the AR-DIC analysis to a spontaneously beating cardiomyocyte (CM) tissue, and could provide correct quantifications of tissue displacement and strain for the beating CMs utilizing physiologically-relevant, sarcomere displacement length-based contraction criteria. The data were further synthesized into novel spatiotemporal parameters of CM contraction to account for the CM beating homogeneity, synchronicity, and propagation as holistic measures of functional myocardial tissue development. Our AR-DIC analyses may thus provide advanced non-invasive characterization tools for assessing the development of spontaneously contracting CMs, suggesting an applicability in myocardial regenerative medicine.

scholarly journals A modular Raman microspectroscopy system for biological tissue analysis

2010 ◽  
Vol 24 (6) ◽  
pp. 577-583 ◽  
Author(s):  
Shuang Wang ◽  
Jianhua Zhao ◽  
Harvey Lui ◽  
Qingli He ◽  
Haishan Zeng
Keyword(s):  
Biological Tissue ◽  
Collection Efficiency ◽  
Normal Skin ◽  
Image Plane ◽  
Raman Microspectroscopy ◽  
High Spectral Resolution ◽  
Simple Method ◽  
Tissue Samples ◽  
Set Up ◽  
Microscope Slides

Raman spectroscopy has been used as a sensitive tool for studying biological tissue and evaluating disease. In many applications, microscopic level resolution spectral analysis is desirable. And this has been performed mostly by expensive commercial confocal micro-Raman systems. In this research, we present a simple method for building an economical and modular Raman microspectroscopy system that combines a microscope with a Raman spectrometer using an optical fiber bundle. The bundle with a circular collection end is positioned at an image plane of the microscope to collect Raman signals from the interested micro-location on the sample. The light delivery end is specially configured so that its 37 fibers are arranged along a straight line to fit into the spectrometer entrance slit. This configuration improves light collection efficiency and maintains high spectral resolution. To battle the great background autofluorescence and Raman signals that could originate from the microscope slides and optics due to the non-confocal set-up of our simplified system, conventional normal-incident illumination is replaced by oblique illumination at 45° degrees and the microscope slides are coated with gold. We demonstrated the usefulness of the system by measuring micro-Raman spectra from different skin layers on vertical sections of normal skin tissue samples.

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