Citation notice #4991 · 2026-07-11 03:19:08.722131+00:00
DART: A design-aware microfluidic chip paradigm for real-time live-cell image analysis
cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python, which carries a correction notice dated 2020-03-04. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.
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01Evidence
Raw extraction · bibliography line · bibliography index 38
Virtanen, P ., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P ., Weckesser, W., Bright, J., van der Walt, S.J., Brett, M., Wilson, J., Millman, K.J., Mayorov, N., Nelson, A.R.J., Jones, E., Kern, R., Larson, E., Carey, C.J., Po- lat, ˙I., Feng, Y ., Moore, E.W., VanderPlas, J., Laxalde, D., Perktold, J., Cimrman, R., Henrik- sen, I., Quintero, E.A., Harris, C.R., Archibald, A.M., Ribeiro, A.H., Pedregosa, F ., van Mul- bregt, P ., and SciPy 1.0 Contributors (2020). SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods17, 261–272. doi:10.1038/s41592-019-0686-2. 22 Supplemental information DART: A design-aware microfluidic chip paradigm for real-time live-cell image analysis Johannes Seiffarth1, , Matthias Pesch1,2, , Lukas Scholtes3, , Dietrich Kohlheyer1, , Hanno Scharr3, , and Katharina N¨oh1, * 1Institute for Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum J¨ulich, J¨ulich, Germany 2Computational Systems Biotechnology (AVT.CSB), RWTH Aachen University, Aachen, Germany 3Institute for Advanced Simulation, IAS-8: Data Analytics and Machine Learning, Forschungszentrum J¨ulich, J¨ulich, Germ
Parser render (TeX stripped for reading; raw above is the evidence)
Virtanen, P ., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P ., Weckesser, W., Bright, J., van der Walt, S.J., Brett, M., Wilson, J., Millman, K.J., Mayorov, N., Nelson, A.R.J., Jones, E., Kern, R., Larson, E., Carey, C.J., Po- lat, ˙I., Feng, Y ., Moore, E.W., VanderPlas, J., Laxalde, D., Perktold, J., Cimrman, R., Henrik- sen, I., Quintero, E.A., Harris, C.R., Archibald, A.M., Ribeiro, A.H., Pedregosa, F ., van Mul- bregt, P ., and SciPy 1.0 Contributors (2020). SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods17, 261–272. doi:10.1038/s41592-019-0686-2. 22 Supplemental information DART: A design-aware microfluidic chip paradigm for real-time live-cell image analysis Johannes Seiffarth1,, Matthias Pesch1,2,, Lukas Scholtes3,, Dietrich Kohlheyer1,, Hanno Scharr3,, and Katharina N¨oh1, * 1Institute for Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum J¨ulich, J¨ulich, Germany 2Computational Systems Biotechnology (AVT.CSB), RWTH Aachen University, Aachen, Germany 3Institute for Advanced Simulation, IAS-8: Data Analytics and Machine Learning, Forschungszentrum J¨ulich, J¨ulich, Germ
02Event
- Type
- Correction
- Source
- Crossref
- Original DOI
- 10.1038/s41592-019-0686-2
- Notice DOI
- 10.1038/s41592-020-0772-5
- Date
- 2020-03-04
- Title
- Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python
- Reasons
- ['Correction']
- Work
- SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python (2020) Nature Methods
03Dispute this notice
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