Automatic scoring of sister chromatid exchanges by image analysis in a dose response experiment

García-Sagredo, José Miguel; Piper, Jim; Rutovitz, Denis; Vaquero, J.J.; Vázquez-Mazariego, Y

doi:10.1002/em.2850230308

Cited by 4 publications

(2 citation statements)

References 15 publications

(10 reference statements)

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“…4. Metaphase cell with dieentrie chromosome (arrowed) et al 1991); chromosome breaks and gaps induced by chemical mutagens (Turner et al, 1993); and sister chromarid exchanges (SCEs) (Zack et al, 1977;Shafer et al 1986;Garcia-Sagredo et al 1994). Such aberrations occur randomly and uniformly throughout the genome and, in the first two cases instanced, are relatively rare.…”

Section: Aberration Scoring For Genetic Toxicologymentioning

confidence: 99%

Computer-aided classification of human chromosomes: a review

Carothers

Piper

1994

Stat Comput

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Computer-aided imaging systems are now widely used in cytogenetic laboratories to reduce the tedium and labour-intensiveness of traditional methods of chromosome analysis. Automatic chromosome classification is an essential component of such systems, and we review here the statistical techniques that have contributed towards it. Although completely error-free classification has not been, nor is ever likely to be, achieved, error rates have been reduced to levels that are acceptable for many routine purposes. Further reductions are likely to be achieved through advances in basic biology rather than in statistical methodology. Nevertheless, the subject remains of interest to those involved in statistical classification, because of its intrinsic challenges and because of the large body of existing results with which to compare new approaches. Also, the existence of very large databases of correctly-classified chromosomes provides a valuable resource for empirical investigations of the statistical properties of classifiers.

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Section: Aberration Scoring For Genetic Toxicologymentioning

confidence: 99%

Computer-aided classification of human chromosomes: a review

Carothers

Piper

1994

Stat Comput

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“…separating object from background, a success rate of 94% was achieved for detecting single chromosomes in the fluorescence images and 81% for the absorption images without user intervention. Garcia-Sagredo et al (1994) considered automation of the scoring of sister chromatid exchanges by image analysis in a dose response experiment. Overall, about three-quarters of all exchanges were detected correctly, with a false positive rate of about 1.5% per cell.…”

Section: Introductionmentioning

confidence: 99%

Automated identification of Fos expression

Young¹,

Ma²,

Cherkerzian³

et al. 2001

Biostatistics

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The concentration of Fos, a protein encoded by the immediate-early gene c-fos, provides a measure of synaptic activity that may not parallel the electrical activity of neurons. Such a measure is important for the difficult problem of identifying dynamic properties of neuronal circuitries activated by a variety of stimuli and behaviours. We employ two-stage statistical pattern recognition to identify cellular nuclei that express Fos in two-dimensional sections of rat forebrain after administration of antipsychotic drugs. In stage one, we distinguish dark-stained candidate nuclei from image background by a thresholding algorithm and record size and shape measurements of these objects. In stage two, we compare performance of linear and quadratic discriminants, nearest-neighbour and artificial neural network classifiers that employ functions of these measurements to label candidate objects as either Fos nuclei, two touching Fos nuclei or irrelevant background material. New images of neighbouring brain tissue serve as test sets to assess generalizability of the best derived classification rule, as determined by lowest cross-validation misclassification rate. Three experts, two internal and one external, compare manual and automated results for accuracy assessment. Analyses of a subset of images on two separate occasions provide quantitative measures of inter- and intra-expert consistency. We conclude that our automated procedure yields results that compare favourably with those of the experts and thus has potential to remove much of the tedium, subjectivity and irreproducibility of current Fos identification methods in digital microscopy.

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Fifty years of cytogenetics: A parallel view of the evolution of cytogenetics and genotoxicology

García-Sagredo

2008

Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanism

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Automatic scoring of sister chromatid exchanges by image analysis in a dose response experiment

Cited by 4 publications

References 15 publications

Computer-aided classification of human chromosomes: a review

Computer-aided classification of human chromosomes: a review

Automated identification of Fos expression

Fifty years of cytogenetics: A parallel view of the evolution of cytogenetics and genotoxicology

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