Introduction to the genetic toxicology association workshop on statistical analysis of cytogenetics test systems

The primary purposes of genetic toxicology are estimation of mutation appearance risk in both somatic and generative cells under different agents' action and decrease of negative consequences for a particular individual and whole population. In a course of the lectures on genetic toxicology the special attention is focused on problems of xenobiotic's metabolism in human organism and genetic control of biotransformation. The lecture course contains following topics: theories of a carcinogenesis, genetic markers of predisposition to development of cancer, problem of an-timutagens search. The principles of test-systems making and approaches to organization of environmental monitoring are surveyed.

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An investigation of the genetic toxicology of irradiated foodstuffs using short-term test systems. iii-in vivo tests in small rodents and in drosophila melanogaster

Food and Chemical Toxicology ◽

10.1016/s0015-6264(82)80220-4 ◽

1982 ◽

Vol 20 (6) ◽

pp. 867-878 ◽

Cited By ~ 4

Author(s):

H.W. renner ◽

U. Graf ◽

F.E. Würgler ◽

H. altmann ◽

J.C. asquith ◽

...

Keyword(s):

Drosophila Melanogaster ◽

Small Rodents ◽

Short Term ◽

Genetic Toxicology ◽

Test Systems ◽

Short Term Test ◽

In Vivo Tests

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An investigation of the genetic toxicology of irradiated foodstuffs using short-term test systems. 1. Digestion in vitro and the testing of digests in the Salmonella typhimurium reverse mutation test

Food and Cosmetics Toxicology ◽

10.1016/0015-6264(80)90192-3 ◽

1980 ◽

Vol 18 (4) ◽

pp. 371-375 ◽

Cited By ~ 12

Author(s):

B.J. Phillips ◽

E. Kranz ◽

P.S. Elias ◽

R. Münzner

Keyword(s):

Salmonella Typhimurium ◽

Short Term ◽

Genetic Toxicology ◽

Reverse Mutation ◽

Test Systems ◽

Short Term Test

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010013064x ◽

1992 ◽

Vol 50 (2) ◽

pp. 1202-1203

Author(s):

Gianluigi Botton ◽

Gilles L'espérance

Keyword(s):

Statistical Analysis ◽

Spatial Resolution ◽

Personal Computer ◽

Systematic Study ◽

Present Author ◽

Chemical Elements ◽

Detection Limits ◽

Research Groups ◽

Quantitative Performance ◽

Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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