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000137647 0247_ $$2ISSN$$a1018-4562
000137647 0247_ $$2ISSN$$a1868-596X
000137647 0247_ $$2ISSN$$a1868-8551
000137647 037__ $$aDZNE-2020-03969
000137647 041__ $$aEnglish
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000137647 1001_ $$avan Vliet, Erwin$$b0
000137647 245__ $$aCurrent approaches and future role of high content imaging in safety sciences and drug discovery.
000137647 260__ $$aHeidelberg$$bSpringer$$c2014
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000137647 520__ $$aHigh content imaging combines automated microscopy with image analysis approaches to simultaneously quantify multiple phenotypic and/or functional parameters in biological systems. The technology has become an important tool in the fields of safety sciences and drug discovery, because it can be used for mode-of-action identification, determination of hazard potency and the discovery of toxicity targets and biomarkers. In contrast to conventional biochemical endpoints, high content imaging provides insight into the spatial distribution and dynamics of responses in biological systems. This allows the identification of signaling pathways underlying cell defense, adaptation, toxicity and death. Therefore, high content imaging is considered a promising technology to address the challenges for the 'Toxicity testing in the 21st century' approach. Currently, high content imaging technologies are frequently applied in academia for mechanistic toxicity studies and in pharmaceutical industry for the ranking and selection of lead drug compounds or to identify/confirm mechanisms underlying effects observed in vivo. A recent workshop gathered scientists working on high content imaging in academia, pharmaceutical industry and regulatory bodies with the objective to compile the state-of-the-art of the technology in the different institutions. Together they defined technical and methodological gaps, proposed quality control measures and performance standards, highlighted cell sources and new readouts and discussed future requirements for regulatory implementation. This review summarizes the discussion, proposed solutions and recommendations of the specialists contributing to the workshop.
000137647 536__ $$0G:(DE-HGF)POF3-342$$a342 - Disease Mechanisms and Model Systems (POF3-342)$$cPOF3-342$$fPOF III$$x0
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000137647 650_7 $$2NLM Chemicals$$aHazardous Substances
000137647 650_7 $$2NLM Chemicals$$aPharmaceutical Preparations
000137647 650_2 $$2MeSH$$aAnimal Testing Alternatives
000137647 650_2 $$2MeSH$$aAnimals
000137647 650_2 $$2MeSH$$aDrug Discovery: methods
000137647 650_2 $$2MeSH$$aHazardous Substances
000137647 650_2 $$2MeSH$$aImaging, Three-Dimensional: methods
000137647 650_2 $$2MeSH$$aModels, Biological
000137647 650_2 $$2MeSH$$aPharmaceutical Preparations
000137647 650_2 $$2MeSH$$aPredictive Value of Tests
000137647 650_2 $$2MeSH$$aReproducibility of Results
000137647 650_2 $$2MeSH$$aToxicity Tests: methods
000137647 7001_ $$aDaneshian, Mardas$$b1
000137647 7001_ $$aBeilmann, Mario$$b2
000137647 7001_ $$aDavies, Anthony$$b3
000137647 7001_ $$0P:(DE-2719)2159508$$aFava, Eugenio$$b4$$udzne
000137647 7001_ $$aFleck, Roland$$b5
000137647 7001_ $$aJulé, Yvon$$b6
000137647 7001_ $$aKansy, Manfred$$b7
000137647 7001_ $$aKustermann, Stefan$$b8
000137647 7001_ $$aMacko, Peter$$b9
000137647 7001_ $$aMundy, William R$$b10
000137647 7001_ $$aRoth, Adrian$$b11
000137647 7001_ $$aShah, Imran$$b12
000137647 7001_ $$aUteng, Marianne$$b13
000137647 7001_ $$avan de Water, Bob$$b14
000137647 7001_ $$aHartung, Thomas$$b15
000137647 7001_ $$0P:(DE-HGF)0$$aLeist, Marcel$$b16$$eCorresponding author
000137647 77318 $$2Crossref$$3journal-article$$a10.14573/altex.1405271$$b : ALTEX Edition, 2014-01-01$$p479-493$$tALTEX$$x1868-596X$$y2014
000137647 773__ $$0PERI:(DE-600)2584909-8$$a10.14573/altex.1405271$$gVol. 31, no. 4, p. 479 - 493$$n4$$p479-493$$q31:4<479 - 493$$tAlternatives to animal experimentation$$v31$$x1868-596X$$y2014
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