Validation of QuickScan Dicentric Chromosome Analysis for High Throughput Radiation Biological Dosimetry

2012 ◽  
Vol 102 (2) ◽  
pp. 143-153 ◽  
Author(s):  
F. N. Flegal ◽  
Y. Devantier ◽  
L. Marro ◽  
R. C. Wilkins
2011 ◽  
Vol 175 (3) ◽  
pp. 397-404 ◽  
Author(s):  
Horst Romm ◽  
Ruth C. Wilkins ◽  
C. Norman Coleman ◽  
Patricia K. Lillis-Hearne ◽  
Terry C. Pellmar ◽  
...  

2010 ◽  
Vol 98 (2) ◽  
pp. 276-281 ◽  
Author(s):  
F N. Flegal ◽  
Y Devantier ◽  
J P. McNamee ◽  
R C. Wilkins

Author(s):  
Terri L. Ryan ◽  
Maria B. Escalona ◽  
Tammy L. Smith ◽  
Joseph Albanese ◽  
Carol J. Iddins ◽  
...  

2013 ◽  
Vol 36 (1-2) ◽  
pp. 37-44 ◽  
Author(s):  
Yuchen Qiu ◽  
Xiaodong Chen ◽  
Yuhua Li ◽  
Wei R. Chen ◽  
Bin Zheng ◽  
...  

Background: Auto-focusing is an important operation in high throughput imaging scanning. Although many auto-focusing methods have been developed and tested for a variety of imaging modalities, few investigations have been performed on the selection of an optimal auto-focusing method that is suitable for the pathological metaphase chromosome analysis under a high resolution scanning microscopic system.Objective: The purpose of this study is to investigate and identify an optimal auto-focusing method for the pathological metaphase chromosome analysis.Methods: In this study, five auto-focusing methods were applied and tested using metaphase chromosome images acquired from bone marrow and blood specimens. These methods were assessed by measuring a number of indices including execution time, accuracy, number of false maxima, and full width at half maximum (FWHM).Results: For the specific condition investigated in this study, the results showed that the Brenner gradient and threshold pixel counting methods were the optimal methods for acquiring high quality metaphase chromosome images from the bone marrow and blood specimens, respectively.Conclusions: Selecting an optimal auto-focusing method depends on the specific clinical tasks. This study also provides useful information for the design and implementation of the high throughput microscopic image scanning systems in the future digital pathology.


2011 ◽  
Vol 46 (9) ◽  
pp. 923-928 ◽  
Author(s):  
Ruth C. Wilkins ◽  
Horst Romm ◽  
Ursula Oestreicher ◽  
Leonora Marro ◽  
Mitsuaki A. Yoshida ◽  
...  

2013 ◽  
Vol 180 (2) ◽  
pp. 129-137 ◽  
Author(s):  
C. Beinke ◽  
S. Barnard ◽  
H. Boulay-Greene ◽  
A. De Amicis ◽  
S. De Sanctis ◽  
...  

2015 ◽  
Vol 184 (2) ◽  
pp. 134-142 ◽  
Author(s):  
Stanley W. Lue ◽  
Mikhail Repin ◽  
Ryan Mahnke ◽  
David J. Brenner

2020 ◽  
Vol 10 (9) ◽  
pp. 3299-3307 ◽  
Author(s):  
R Rebecca Love ◽  
Marco Pombi ◽  
Moussa W Guelbeogo ◽  
Nathan R Campbell ◽  
Melissa T Stephens ◽  
...  

Abstract Chromosomal inversion polymorphisms have special importance in the Anopheles gambiae complex of malaria vector mosquitoes, due to their role in local adaptation and range expansion. The study of inversions in natural populations is reliant on polytene chromosome analysis by expert cytogeneticists, a process that is limited by the rarity of trained specialists, low throughput, and restrictive sampling requirements. To overcome this barrier, we ascertained tag single nucleotide polymorphisms (SNPs) that are highly correlated with inversion status (inverted or standard orientation). We compared the performance of the tag SNPs using two alternative high throughput molecular genotyping approaches vs. traditional cytogenetic karyotyping of the same 960 individual An. gambiae and An. coluzzii mosquitoes sampled from Burkina Faso, West Africa. We show that both molecular approaches yield comparable results, and that either one performs as well or better than cytogenetics in terms of genotyping accuracy. Given the ability of molecular genotyping approaches to be conducted at scale and at relatively low cost without restriction on mosquito sex or developmental stage, molecular genotyping via tag SNPs has the potential to revitalize research into the role of chromosomal inversions in the behavior and ongoing adaptation of An. gambiae and An. coluzzii to environmental heterogeneities.


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