Novel method for quantitative assessment of physical workload of healthcare workers by a tetherless ergonomics workstation

2012 ◽  
Author(s):  
W. D. Smith ◽  
K. A. Alharbi ◽  
J. B. Dixon ◽  
H. Reggad
Keyword(s):  
Healthcare Workers ◽  
Quantitative Assessment ◽  
Physical Workload ◽  
Novel Method

scholarly journals A Novel Method using Long Axis Cardiac MRI Measurements can Improve in vivo Myocardial Infarct Quantification

2021 ◽  
Author(s):  
Jacob Ref ◽  
Sherry Daugherty ◽  
Ikeotunye Royal Chinyere ◽  
Janan Zeng ◽  
Jordan J Lancaster ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Infarct Size ◽  
Cardiac Mri ◽  
Quantitative Assessment ◽  
Post Mortem ◽  
Reference Standard ◽  
Segment Model ◽  
Organ Harvesting ◽  
Novel Method ◽  
Histopathologic Analysis

Abstract PurposeCurrently, the American Heart Association (AHA) 17-segment model is the preferred clinical method to define and quantify left ventricle (LV) myocardial infarction (MI) size. This method is subjective and can be inaccurate given that segmental approximation assumes a specific percent of infarcted tissue when compared to reference standard post-mortem histopathology. To improve the accuracy and reproducibility of infarct volume quantification we propose a novel measurement technique based on cardiac MRI images from a porcine model of myocardial infarction. Data were collected from serial MRI exams of Yucatan mini swine over 6 months and endpoint organ harvesting for histopathologic analysis. MethodsTwo observers evaluated four infarct sizing methods: myocardial contouring of post-mortem heart slices, contouring using cardiac MRI, AHA 17-segment model analysis and novel long-axis MRI infarct sizing. ResultsLV infarct sizes ranges were 1.6% - 25.8% (n=10) using reference standard histopathologic infarct sizing. Intraclass correlations (ICC) were calculated between two observers and averaged due to high similarity, ICC > .900. A t-test of .0006 and Bland-Altman plots show statistically significant differences in 17-segment model infarct size compared to histopathologic analysis while no significant difference was found when compared to our new novel method with 0.8198. Linear correlation showed an R 2 of 0.9111 between MRI contoured infarct size and our novel MRI infarct sizing model to predict infarct size as a percentage while the R 2 of the 17-Seg model is 0.8197. ConclusionsThe 17-sgement model provides an inferior quantitative assessment of LV infarct size compared to the proposed long-axis infarct sizing suggesting it maybe a robust and easily implementable quantitative assessment of LV infarct size in advanced imaging.

scholarly journals An optimized procedure for quantitative analysis of mitophagy with the mtKeima system using flow cytometry

BioTechniques ◽  
2020 ◽  
Vol 69 (4) ◽  
pp. 249-256
Author(s):  
Nathaniel J Winsor ◽  
Samuel A Killackey ◽  
Dana J Philpott ◽  
Stephen E Girardin
Keyword(s):  
Flow Cytometry ◽  
Quantitative Assessment ◽  
Single Cell Level ◽  
Reporter System ◽  
Cell Level ◽  
Flow Cytometry Data ◽  
Mitochondrial Homeostasis ◽  
Quantitative Analyses ◽  
Novel Method ◽  
Downstream Analysis

Mitophagy is the process by which mitochondria are selectively targeted and removed via autophagic machinery to maintain mitochondrial homeostasis in the cell. Recently, flow cytometry-based assays that utilize the fluorescent mtKeima reporter system have allowed for quantitative assessment of mitophagy at a single-cell level. However, clear guidelines for appropriate flow cytometry workflow and downstream analysis are lacking and studies using flow cytometry in mtKeima-expressing cells often display incorrect and arbitrary binary mitophagic or nonmitophagic cutoffs that prevent proper quantitative analyses. In this paper we propose a novel method of mtKeima data analysis that preserves subtle differences present within flow cytometry data in a manner that ensures reproducibility.

In situ semi-quantitative assessment of single-cell viability by resonance Raman spectroscopy

2018 ◽  
Vol 54 (52) ◽  
pp. 7135-7138 ◽  
Author(s):  
Zhu Mao ◽  
Zhuo Liu ◽  
Jin Yang ◽  
Xiaoxia Han ◽  
Bing Zhao ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Cell Viability ◽  
Single Cell ◽  
Quantitative Assessment ◽  
High Selectivity ◽  
Resonance Raman Spectroscopy ◽  
Resonance Raman ◽  
Resonance Raman Scattering ◽  
Novel Method

We developed a novel method for quantifying single-cell viability with high selectivity by resonance Raman scattering. This powerful tool will allow researchers to study cellular metabolism at the level of a single cell.

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