Workflows for microscopy image analysis and cellular phenotyping

• Verfasst von: Wollmann, Thomas [VerfasserIn]
• Verfasst von: Erfle, Holger [VerfasserIn]
• Verfasst von: Eils, Roland [VerfasserIn]
• Verfasst von: Rohr, Karl [VerfasserIn]
• Verfasst von: Gunkel, Manuel [VerfasserIn]
• Titel: Workflows for microscopy image analysis and cellular phenotyping
• Verf.angabe: Thomas Wollmann, Holger Erfle, Roland Eils, Karl Rohr, Manuel Gunkel
• Umfang: 6 S.
• Fussnoten: Gesehen am 23.10.2018
• Titel Quelle: Enthalten in: Journal of biotechnology
• Jahr Quelle: 2017
• Band/Heft Quelle: 261(2017), S. 70-75
• ISSN Quelle: 1873-4863
• DOI: doi:10.1016/j.jbiotec.2017.07.019
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1582182981

Abstract

In large scale biological experiments, like high-throughput or high-content cellular screening, the amount and the complexity of images to be analyzed are steadily increasing. To handle and process these images, well defined image processing and analysis steps need to be performed by applying dedicated workflows. Multiple software tools have emerged with the aim to facilitate creation of such workflows by integrating existing methods, tools, and routines, and by adapting them to different applications and questions, as well as making them reusable and interchangeable. In this review, we describe workflow systems for the integration of microscopy image analysis techniques with focus on KNIME and Galaxy.