Improved structure, function and compatibility for cellprofiler: Modular high-throughput image analysis software

Bioinformatics

Volumn 27, Issue 8, 2011, Pages 1179-1180

  Kamentsky, Lee ^a   Jones, Thouis R ^a   Fraser, Adam ^a   Bray, Mark Anthony ^a   Logan, David J ^a   Madden, Katherine L ^a   Ljosa, Vebjorn ^a   Rueden, Curtis ^b   Eliceiri, Kevin W ^b   Carpenter, Anne E ^a  

^a BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; COMPUTER PROGRAM; HIGH THROUGHPUT SCREENING; IMAGE PROCESSING; METHODOLOGY; NERVE CELL; ULTRASTRUCTURE;

ALGORITHMS; HIGH-THROUGHPUT SCREENING ASSAYS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEURONS; SOFTWARE;

EID: 79954500285     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr095     Document Type: Article

References (11)

1. Carpenter,A.E. et al. (2006) CellProfiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biol., 7, R100.
2. Jaqaman,K. et al. (2008) Robust single-particle tracking in live-cell time-lapse sequences. Nat. Methods, 5, 695-702.
3. Jones,T.R. et al. (2009) Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning. Proc. Natl Acad. Sci. USA, 106, 1826-1831.
4. Knutsson,H. and Westin,C.-F. (1993) Normalized and differential convolution: methods for interpolation and filtering of incomplete and uncertain data. Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 515-523.
5. Lamprecht,M.R. et al. (2007) CellProfiler: free, versatile software for automated biological image analysis. Biotechniques, 42, 71-75.
6. Lindblad,J. and Bengtsson,E. (2001) A comparison of methods for estimation of intensity nonuniformities in 2D and 3D microscope images of fluorescence stained cells. In Proceedings of the 12th Scandinavian Conference on Image Analysis (SCIA). Norwegian Society for Image Processing and Pattern Recognition, Bergen, Norway, pp. 264-271.
7. Misselwitz,B. et al. (2010) Enhanced CellClassifier: a multi-class classification tool for microscopy images. BMC Bioinformatics, 11, 30.
8. Oliphant,T.E. (2007) Python for scientific computing. Comput. Sci. Eng., 9, 10-20.
9. Ramo,P. et al. (2009) CellClassifier: supervised learning of cellular phenotypes. Bioinformatics, 25, 3028-3030.
10. Riklin-Raviv,T. et al. (2010) Morphology-guided graph search for untangling objects: C. elegans analysis. In Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Springer, Beijing, China.
11. Wählby,C. et al. (2010) Resolving clustered worms via probabilistic shape models. In IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro. Rotterdam, The Netherlands.