The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Challenges in long-term imaging and quantification of single-cell dynamics
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Cites
U-Net: Convolutional Networks for Biomedical Image Segmentation
Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_28 · Cited by 99,404
Fiji: an open-source platform for biological-image analysis
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Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche
Sato, T., Vries, R. G., Snippert, H. J., van de Wetering, M., Barker, N., Stange, D. E., van Es, J. H., Abo, A., Kujala, P., Peters, P. J., et al. (2009) · Nature · doi:10.1038/nature07935 · Cited by 7,204
Cerebral organoids model human brain development and microcephaly
Lancaster, M. A., Renner, M., Martin, C.-A., Wenzel, D., Bicknell, L. S., Hurles, M. E., Homfray, T., Penninger, J. M., Jackson, A. P., & Knoblich, J. A. (2013) · Nature · doi:10.1038/nature12517 · Cited by 5,372
Spatially resolved, highly multiplexed RNA profiling in single cells
Chen, K. H., Boettiger, A. N., Moffitt, J. R., Wang, S., & Zhuang, X. (2015) · Science · doi:10.1126/science.aaa6090 · Cited by 2,969
Self-organizing optic-cup morphogenesis in three-dimensional culture
Eiraku, M., Takata, N., Ishibashi, H., Kawada, M., Sakakura, E., Okuda, S., Sekiguchi, K., Adachi, T., & Sasai, Y. (2011) · Nature · doi:10.1038/nature09941 · Cited by 2,001
Asymmetric self-renewal and commitment of satellite stem cells in muscle
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Cited by
La Manno, G., Soldatov, R., Zeisel, A., Braun, E., Hochgerner, H., Petukhov, V., Lidschreiber, K., Kastriti, M. E., Lönnerberg, P., Furlan, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0414-6 · Cited by 4,118
Phototoxicity in live fluorescence microscopy, and how to avoid it
Icha, J., Weber, M., Waters, J. C., & Norden, C. (2017) · BioEssays · doi:10.1002/bies.201700003 · Cited by 622
Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy
Ounkomol, C., Seshamani, S., Maleckar, M. M., Collman, F., & Johnson, G. R. (2018) · Nature Methods · doi:10.1038/s41592-018-0111-2 · Cited by 495
Challenges and emerging directions in single-cell analysis
Yuan, G.-C., Cai, L., Elowitz, M., Enver, T., Fan, G., Guo, G., Irizarry, R., Kharchenko, P., Kim, J., Orkin, S., et al. (2017) · Genome Biology · doi:10.1186/s13059-017-1218-y · Cited by 341
Self-citationA bird's-eye view of deep learning in bioimage analysis
Meijering, E. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.08.003 · Cited by 126
Metadata
- Authors
- Skylaki, S., Hilsenbeck, O., & Schroeder, T.
- Venue
- Nature Biotechnology
- Published
- 2016-11
- Volume
- 34
- Issue
- 11
- Pages
- 1137-1144
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2554348690
- Cited by
- 239
- References
- 12
- FWCI
- 12.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Challenges in long-term imaging and quantification of single-cell dynamics. https://app.cochat.ai/papers/10.1038/nbt.3713
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- Skylaki, S., Hilsenbeck, O., & Schroeder, T. (2016). Challenges in long-term imaging and quantification of single-cell dynamics. Nature Biotechnology. https://doi.org/10.1038/nbt.3713
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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.
