scholarly journals Automated image analysis system for studying cardiotoxicity in human pluripotent stem cell-Derived cardiomyocytes

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Lu Cao ◽  
Andries D. van der Meer ◽  
Fons J. Verbeek ◽  
Robert Passier
Keyword(s):  
Image Analysis ◽  
Stem Cell ◽  
Pluripotent Stem Cell ◽  
Automated Image Analysis ◽  
Image Analysis System ◽  
Human Pluripotent Stem Cell ◽  
Analysis System

An automated image analysis system for the detection of rare autoradiographically labelled cells in the human lymphocyte HGPRT variant assay

Cytometry ◽  
1984 ◽  
Vol 5 (3) ◽  
pp. 250-257 ◽  
Author(s):  
Margaret H. Stark ◽  
J. H. Tucker ◽  
E. J. Thomson ◽  
P. E. Perry
Keyword(s):  
Image Analysis ◽  
Human Lymphocyte ◽  
Automated Image Analysis ◽  
Image Analysis System ◽  
Analysis System

Automated image analysis of Euglena gracilis Klebs (Euglenophyta) for measuring sublethal effects of three model contaminants

2012 ◽  
Vol 66 (8) ◽  
pp. 1708-1715 ◽  
Author(s):  
I. Netto ◽  
V. Bostan ◽  
L. McCarthy ◽  
A. Laursen ◽  
K. Gilbride ◽  
...  
Keyword(s):  
Image Analysis ◽  
Euglena Gracilis ◽  
Cell Shape ◽  
Early Warning Systems ◽  
Visual Observation ◽  
Automated Image Analysis ◽  
Swimming Velocity ◽  
Image Analysis System ◽  
Behavioural Changes ◽  
Analysis System

The short-term impacts of atrazine (herbicide), tributyltin (organometal) and copper on the behaviour of Euglena gracilis Klebs (Euglenophyta) were assessed. First, the ECOTOX automated image analysis system was used, which measured swimming velocity, cell shape, percentage of cells swimming upwards, and randomness of swimming. Next, visual observation by microscopy was used to measure percentage of cell motility and cell shape. Behavioural changes can be used as an indicator of stress in less than 24 h, potentially making them suitable for inclusion in early-warning systems for water quality. Findings indicate that E. gracilis is a very sensitive organism to copper, showing inhibition of motility with visual observation at 0.8 μmol/L within 1 h. The image analysis system was in general less sensitive than visual observation for detecting behavioural changes after incubation in copper. In contrast, after exposure to organic contaminants atrazine and tributyltin, the ECOTOX system detected small changes in the number of cells swimming upwards (antigravitactic behaviour) at higher concentrations.

scholarly journals An Automated Image Analysis System to Quantify Endosomal Tubulation

PLoS ONE ◽  
2016 ◽  
Vol 11 (12) ◽  
pp. e0168294 ◽  
Author(s):  
Timothy M. Newton ◽  
Evan Reid
Keyword(s):  
Image Analysis ◽  
Automated Image Analysis ◽  
Image Analysis System ◽  
Analysis System

An automated image analysis system for major maceral group analysis in coals

Fuel ◽  
1994 ◽  
Vol 73 (11) ◽  
pp. 1729-1734 ◽  
Author(s):  
Edward Lester ◽  
Martin Allen ◽  
Michael Cloke ◽  
Nick J. Miles
Keyword(s):  
Image Analysis ◽  
Group Analysis ◽  
Automated Image Analysis ◽  
Image Analysis System ◽  
Analysis System

What Do Hemolyzed Whole-Blood Specimens Look Like? Analysis with a CellaVision DM96 Automated Image Analysis System

2015 ◽  
Vol 20 (1) ◽  
pp. 60-63 ◽  
Author(s):  
Giuseppe Lippi ◽  
Fernanda Pavesi ◽  
Anna Benegiamo ◽  
Silvia Pipitone
Keyword(s):  
Image Analysis ◽  
Whole Blood ◽  
Automated Image Analysis ◽  
Image Analysis System ◽  
Blood Specimens ◽  
Analysis System

Quantification of particle shape by an automated image analysis system: a case study in natural sediment samples from extreme climates

2018 ◽  
Vol 22 (4) ◽  
pp. 525-532 ◽  
Author(s):  
Young Ji Joo ◽  
Anastasia M. Soreghan ◽  
Megan E. Elwood Madden ◽  
Gerilyn S. Soreghan
Keyword(s):  
Image Analysis ◽  
Particle Shape ◽  
Automated Image Analysis ◽  
Image Analysis System ◽  
Natural Sediment ◽  
Sediment Samples ◽  
System A ◽  
Analysis System

scholarly journals Development of a Monitoring Method for Nonlabeled Human Pluripotent Stem Cell Growth by Time-Lapse Image Analysis

2015 ◽  
Vol 4 (7) ◽  
pp. 720-730 ◽  
Author(s):  
Mika Suga ◽  
Hiroaki Kii ◽  
Keiichi Niikura ◽  
Yasujiro Kiyota ◽  
Miho K. Furue
Keyword(s):  
Image Analysis ◽  
Stem Cell ◽  
Cell Growth ◽  
Pluripotent Stem Cell ◽  
Time Lapse ◽  
Human Pluripotent Stem Cell ◽  
Monitoring Method

scholarly journals Quantitative Automated Image Analysis System with Automated Debris Filtering for the Detection of Breast Carcinoma Cells

2011 ◽  
Vol 55 (3) ◽  
pp. 271-280 ◽  
Author(s):  
David T. Martin ◽  
Sergio Sandoval ◽  
Casey N. Ta ◽  
Manuel E. Ruidiaz ◽  
Maria Jose Cortes-Mateos ◽  
...  
Keyword(s):  
Image Analysis ◽  
Breast Carcinoma ◽  
Carcinoma Cells ◽  
Automated Image Analysis ◽  
Image Analysis System ◽  
Breast Carcinoma Cells ◽  
Analysis System
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