scholarly journals Development of High-resolution Methods for the Analysis of Drug Distribution in Biological Tissue Samples and Their Applications

2019 ◽  
Vol 139 (8) ◽  
pp. 1063-1070
Author(s):  
Kenji Kuwayama
2011 ◽  
Vol 17 (S2) ◽  
pp. 966-967 ◽  
Author(s):  
R Schalek ◽  
N Kasthuri ◽  
K Hayworth ◽  
D Berger ◽  
J Tapia ◽  
...  

Extended abstract of a paper presented at Microscopy and Microanalysis 2011 in Nashville, Tennessee, USA, August 7–August 11, 2011.


2013 ◽  
Vol 41 (S1) ◽  
pp. 65-68 ◽  
Author(s):  
Michelle Huckaby Lewis

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.


Author(s):  
Justin A. Courson ◽  
Paul T. Landry ◽  
Thao Do ◽  
Eric Spehlmann ◽  
Pascal J. Lafontant ◽  
...  

2019 ◽  
Vol 31 (3) ◽  
pp. 399-407 ◽  
Author(s):  
Michael S. Filigenzi ◽  
Emily E. Graves ◽  
Lisa A. Tell ◽  
Karen A. Jelks ◽  
Robert H. Poppenga

We developed and validated a liquid chromatography–high-resolution mass spectrometry (LC-HRMS) analytical method for quantitatively measuring pesticide concentrations in small-body avian tissue samples using homogenized 1–2-d-old chicken carcasses as the test matrix. We quantified the following key insecticides: sulfoxaflor (sulfoximine class) and the neonicotinoids dinotefuran, nitenpyram, thiamethoxam, acetamiprid, thiacloprid, clothianidin, and imidacloprid. We used fortified chick carcass samples to validate method accuracy (80–125% recoveries), precision (<20% relative standard deviation), and sensitivity (≤1.2 ppb) for these targeted analytes. This method also uses full-scan, high-resolution MS to screen for the presence of a wide variety of other xenobiotics in bird carcasses. The utility of our screening process was demonstrated by the detection of carbaryl in some samples. This sensitive LC-HRMS analytical method for insecticide detection in a matrix of homogenized carcass is ideal for evaluating small birds for insecticide exposure. This novel whole-carcass method may allow for research studies of small-bodied, free-ranging avian species, and could provide insight regarding their exposure to multiple classes of environmental contaminants.


2010 ◽  
Vol 257 (4) ◽  
pp. 1267-1275 ◽  
Author(s):  
Gaia Volandri ◽  
Luca Menichetti ◽  
Marco Matteucci ◽  
Claudia Kusmic ◽  
Marco Consumi ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Akankshya Shradhanjali ◽  
Brandon D. Riehl ◽  
Bin Duan ◽  
Ruiguo Yang ◽  
Jung Yul Lim

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.


2000 ◽  
Vol 8 (7) ◽  
pp. 31-31
Author(s):  
Robert Meyer

To those scientists and researchers who use microscopes with video or digital cameras for the purpose of capture and display, there has always existed a fundamental problem, namely, imaging large tissue samples at high resolution.For some time, conventional technology has allowed video cameras to be attached to microscopes. The signal generated by these cameras can be captured and saved to a computer's hard drive using a frame grabber. A typical image capture and display resolution is 640 by 480 (307,200) pixels. Although the image produced is ‘good’, it is by no means considered ‘high resolution’. For the sake of discussion, ‘high resolution’ is defined as greater than 1,000 x 1,000 (1,000,000) pixels. High resolution images are essential for medical applications. Today's modern digital cameras can meet or exceed this value. The human eye, if compared to these examples, has the equivalent resolution of greater than 5,000 x 5,000 (25,000,000) pixels.


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