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2. Kontinuierliche Untersuchung des intraokularen Augeninnendruckes mittels intraokularem Drucksensor

Author

Meyer-Schell, R, Schultz, T, Kersten-Gomez, I, Elling, M, and Dick, HB

Subjects
ddc: 610, 610 Medical sciences, Medicine
Abstract

Hintergrund: Bei Glaukom-Patienten spielt die Erfassung des intraokularen Drucks (IOD) eine herausragende Rolle in der Diagnostik und Therapie. Ein neuer intraokular implantierter Drucksensor bietet die Möglichkeit, den IOD kontaktfrei zu messen und detaillierte IOD-Profile zu erstellen. Methoden:[zum vollständigen Text gelangen Sie über die oben angegebene URL], 183. Versammlung des Vereins Rheinisch-Westfälischer Augenärzte

Published
2021
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5. Control Architecture for the Deep Space Mission System (DSMS)

Author

Tai, W, Shames, P, and Schell, R

Abstract

As NASA moves int an era of flying more missions at much lower cost and shorter development duration, the Deep Space Mission System (DSMS) has been redesigned to provide services to approximately 50 missions during the next 10 years.

Published
2000

9. Performance of the pollen tube growth test in the COLIPA validation study on alternatives to the rabbit eye irritation test

Author

Kristen, U., Jung, K., Pape, W., Pfannenbecker, U., Rensch, A., Schell, R., Kristen, U., Jung, K., Pape, W., Pfannenbecker, U., Rensch, A., and Schell, R.

Abstract

In the present paper, we describe and analyse the performance and the results of the pollen tube growth (PTG) test applied to the COLIPA international Validation study of in vitro alternatives to the Draize eye irritation test. The PTG test, based on photometric quantification of in vitro pollen tube mass production, was used by three independent laboratories to estimate the acute eye irritation potentials of 23 ingredients and 32 cosmetic formulations. Basing on historical Draize test data and on IC50 values of previously tested cosmetic formulations, a mathematical formula was generated to predict rabbit eye irritation potentials from PTG test results. Statistical evaluation of the calculated modified maximal average scores (MMAS) revealed a high prediction capability of the PTG test in regard to the finished formulations but a relatively low one for alcohols, higher concentrated cationic surfactants, and acidic and alkaline materials. Furthermore, our results indicated that the PTG test was able to produce precise IC50 values without any limitations from all of the 55 test substances with good intra- and interlaboratory reproducibility. From these findings we suggest that the PTG test is not a validated test at present but is considered to be a potent candidate for further validation processes. For this purpose an additional prediction model for ingredient classes as mentioned above must be generated.

Published
1999

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