High-content screening images streaming analysis using the STriGen methodology-Reference-Cited by-同舟云学术

High-content screening images streaming analysis using the STriGen methodology

Published:2020-03-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 35th Annual ACM Symposium on Applied Computing
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Author:

Melgar-García Laura¹,Gutiérrez-Avilés David¹,Rubio-Escudero Cristina²,Troncoso Alicia¹

Affiliation:

1. Pablo de Olavide University, Seville, Spain

2. University of Seville, Seville, Spain

Funder

Spanish Ministry of Economy and Competitiveness

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3341105.3374071

Reference12 articles.

1. CellOrgnizer Project [n. d.]. CellOrganizer project from Carnegie Mellon University. http://www.cellorganizer.org/2d-hela/ CellOrgnizer Project [n. d.]. CellOrganizer project from Carnegie Mellon University. http://www.cellorganizer.org/2d-hela/

2. D. Cronk. 2013. Chapter 8 - High-throughput screening. (2013) 95 -- 117. 10.1016/B978-0-7020-4299-7.00008-1 D. Cronk. 2013. Chapter 8 - High-throughput screening. (2013) 95 -- 117. 10.1016/B978-0-7020-4299-7.00008-1

3. Chemical Biology

4. G. Galea and J. C. Simpson. 2013. Chapter 17 - High-Content Screening and Analysis of the Golgi Complex. 118 (2013) 281 -- 295. 10.1016/B978-0-12-417164-0.00017-3 G. Galea and J. C. Simpson. 2013. Chapter 17 - High-Content Screening and Analysis of the Golgi Complex. 118 (2013) 281 -- 295. 10.1016/B978-0-12-417164-0.00017-3

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