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Microscopy-Based High-Content Screening
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Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
A Threshold Selection Method from Gray-Level Histograms
Otsu, N. (1979) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1979.4310076 · Cited by 43,398
Genome engineering using the CRISPR-Cas9 system
Ran, F. A., Hsu, P. D., Wright, J., Agarwala, V., Scott, D. A., & Zhang, F. (2013) · Nature Protocols · doi:10.1038/nprot.2013.143 · Cited by 11,133
Zhang, J.-H., Chung, T. D. Y., & Oldenburg, K. R. (1999) · SLAS Discovery · doi:10.1177/108705719900400206 · Cited by 6,847
CellProfiler: image analysis software for identifying and quantifying cell phenotypes
Carpenter, A. E., Jones, T. R., Lamprecht, M. R., Clarke, C., Kang, I. H., Friman, O., Guertin, D. A., Chang, J. H., Lindquist, R. A., Moffat, J., et al. (2006) · Genome Biology · doi:10.1186/gb-2006-7-10-r100 · Cited by 5,157
Mutations affecting segment number and polarity in Drosophila
Nüsslein-Volhard, C., & Wieschaus, E. (1980) · Nature · doi:10.1038/287795a0 · Cited by 4,370
A Lentiviral RNAi Library for Human and Mouse Genes Applied to an Arrayed Viral High-Content Screen
Moffat, J., Grueneberg, D. A., Yang, X., Kim, S. Y., Kloepfer, A. M., Hinkle, G., Piqani, B., Eisenhaure, T. M., Luo, B., Grenier, J. K., et al. (2006) · Cell · doi:10.1016/j.cell.2006.01.040 · Cited by 1,798
Small Molecule Inhibitor of Mitotic Spindle Bipolarity Identified in a Phenotype-Based Screen
Mayer, T. U., Kapoor, T. M., Haggarty, S. J., King, R. W., Schreiber, S. L., & Mitchison, T. J. (1999) · Science · doi:10.1126/science.286.5441.971 · Cited by 1,727
A Protein-Tagging System for Signal Amplification in Gene Expression and Fluorescence Imaging
Tanenbaum, M. E., Gilbert, L. A., Qi, L. S., Weissman, J. S., & Vale, R. D. (2014) · Cell · doi:10.1016/j.cell.2014.09.039 · Cited by 1,580
CHOPCHOP: a CRISPR/Cas9 and TALEN web tool for genome editing
Montague, T. G., Cruz, J. M., Gagnon, J. A., Church, G. M., & Valen, E. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku410 · Cited by 1,234
Research works printed but not linked: 4
- Mullard, 2013, European lead factory opens for business, Nat. Rev. Drug Discov., 12, 173, 10.1038/nrd3956 · doi:10.1038/nrd3956
- Rank, 1992, An adaptive recursive 2-D filter for removal of Gaussian noise in images, IEEE Trans. Image Process., 1, 431, 10.1109/83.148617 · doi:10.1109/83.148617
- Thompson, 2014, A novel segmentation-based algorithm for the quantification of magnified cells, J. Cell. Biochem., 115, 1849
- Wang, 2007, Computational restoration of fluorescence images: noise reduction, deconvolution, and pattern recognition, Methods Cell Biol., 81, 435, 10.1016/S0091-679X(06)81020-4 · doi:10.1016/s0091-679x(06)81020-4
Cited by
Cellpose: a generalist algorithm for cellular segmentation
Stringer, C., Wang, T., Michaelos, M., & Pachitariu, M. (2021) · Nature Methods · doi:10.1038/s41592-020-01018-x · Cited by 4,369
Cell Detection with Star-Convex Polygons
Schmidt, U., Weigert, M., Broaddus, C., & Myers, G. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-00934-2_30 · Cited by 1,826
Data-analysis strategies for image-based cell profiling
Caicedo, J. C., Cooper, S., Heigwer, F., Warchal, S., Qiu, P., Molnar, C., Vasilevich, A. S., Barry, J. D., Bansal, H. S., Kraus, O., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4397 · Cited by 739
Self-citationNucleus segmentation across imaging experiments: the 2018 Data Science Bowl
Caicedo, J. C., Goodman, A., Karhohs, K. W., Cimini, B. A., Ackerman, J., Haghighi, M., Heng, C., Becker, T., Doan, M., McQuin, C., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0612-7 · Cited by 809
Intelligent Image-Activated Cell Sorting
Nitta, N., Sugimura, T., Isozaki, A., Mikami, H., Hiraki, K., Sakuma, S., Iino, T., Arai, F., Endo, T., Fujiwaki, Y., et al. (2018) · Cell · doi:10.1016/j.cell.2018.08.028 · Cited by 538
Metadata
- Authors
- Boutros, M., Heigwer, F., & Laufer, C.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 163
- Issue
- 6
- Pages
- 1314-1325
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2183389629
- Cited by
- 396
- References
- 77
- FWCI
- 16.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 368 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Funders
- European Commission
- European Research Council
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- CoChat. (2026). Citation check: Microscopy-Based High-Content Screening. https://app.cochat.ai/papers/10.1016/j.cell.2015.11.007
- The paper
- Boutros, M., Heigwer, F., & Laufer, C. (2015). Microscopy-Based High-Content Screening. Cell. https://doi.org/10.1016/j.cell.2015.11.007
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
