Truong, Thai V. and Supatto, Willy (2011) Toward high-content/high-throughput imaging and analysis of embryonic morphogenesis. Genesis, 49 (7). pp. 555-569. ISSN 1526-954X http://resolver.caltech.edu/CaltechAUTHORS:20110729-091343599
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Abstract
In vivo study of embryonic morphogenesis tremendously benefits from recent advances in live microscopy and computational analyses. Quantitative and automated investigation of morphogenetic processes opens the field to high-content and high-throughput strategies. Following experimental workflow currently developed in cell biology, we identify the key challenges for applying such strategies in developmental biology. We review the recent progress in embryo preparation and manipulation, live imaging, data registration, image segmentation, feature computation, and data mining dedicated to the study of embryonic morphogenesis. We discuss a selection of pioneering studies that tackled the current methodological bottlenecks and illustrated the investigation of morphogenetic processes in vivo using quantitative and automated imaging and analysis of hundreds or thousands of cells simultaneously, paving the way for high-content/high-throughput strategies and systems analysis of embryonic morphogenesis.
| Item Type: | Article | ||||||||
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| Additional Information: | © 2011 Wiley-Liss, Inc. Received 18 December 2010; Revised 8 April 2011; Accepted 14 April 2011. Article first published online: 24 Jun. 2011. Contract grant sponsor: NIH - Center of Excellence in Genomic Science, Contract grant number: P50 HG004071, Contract grant sponsor: Beckman Institute, Contract grant sponsor: Marie Curie International Reintegration Grant within the 7th European Community Framework Programme, Contract grant sponsor: Agence Nationale de la Recherche (Programme Jeunes Chercheuses/Jeunes Chercheurs). The authors thank the members of Scott E. Fraser and Angelike Stathopoulos laboratories at Caltech (Pasadena, CA, USA) and of Jérôme Collignon’s team at Institute Jacques Monod (Paris, France) for fruitful discussions. | ||||||||
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| Subject Keywords: | live microscopy; data registration; cell segmentation; cell tracking; data mining; methods; developmental biology | ||||||||
| Record Number: | CaltechAUTHORS:20110729-091343599 | ||||||||
| Persistent URL: | http://resolver.caltech.edu/CaltechAUTHORS:20110729-091343599 | ||||||||
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| Official Citation: | Truong, T. V. and Supatto, W. (2011), Toward high-content/high-throughput imaging and analysis of embryonic morphogenesis. genesis, 49: 555–569. doi: 10.1002/dvg.20760 | ||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||
| ID Code: | 24596 | ||||||||
| Collection: | CaltechAUTHORS | ||||||||
| Deposited By: | Tony Diaz | ||||||||
| Deposited On: | 15 Sep 2011 18:49 | ||||||||
| Last Modified: | 26 Dec 2012 13:25 |
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