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with AI and/or machine learning workflows in

Potential Publications:

real-time, means that live-cell analysis could be

used to extract knowledge from assays, as well as


detecting trends. The ability to capture, monitor,


and analyze data without using predefined

1.	 Lodge, AP, et al. Performance of mouse neural stem cells as a
screening reagent: characterization of PAC1 activity in mediumthroughput functional assays. J. Biomol. Screen, 15;159-68 (2010)

parameters means that live-cell analysis could
become the gold standard approach for cuttingedge cellular models.

Monitoring Using Live Cell

2.	 Horbach, SPJM, Halman, W. The ghosts of HeLa: How cell line
misidentification contaminates the scientific literature. PLoS One,
12;1-16 (2017)
3.	 Capes-Davis, A and Neve, RM. Authentication: A Standard Problem
or a Problem of Standards? PLoS Biol, 14(6); e1002477 (2016)
4.	 Laissue, PP, et al. Assessing phototoxicity in live fluorescence
imaging. Nature Methods, 14;657-661 (2017)

Imaging Ensuresthe Reliability

5.	 Schlachetzki, JC, et al. Studying neurodegenerative diseases in
culture models. Braz J Psychiatry, 35 Suppl 2;S92-100 (2013)

and Success of Cell Assays

6.	 Hong, W, et al. Diffusible, highly bioactive oligomers represent a
critical minority of soluble Aβ in Alzheimer's disease brain. Acta
Neuropathol, 136;19 (2018)

Ensuring assay quality with live-cell-imaging
and analysis offers scientists benefits at every
stage of their cell assay workflow. Continually
monitoring cell culture during the study
improves the understanding of cellular events,
while the ability to retrospectively assess images
enables scientists to make better informed
decisions. Having invested time and expense
into developing innovative assays, live-cell
monitoring ensures efficient use of resources,
which is further enhanced by its non-invasive and

7.	 Lazzeroni, G, et al. A phenotypic screening assay for modulators
of huntingtin-induced transcriptional dysregulation. J. Biomol.
Screen, 18;984-96 (2013)
8.	 Tortoriello, G, et al. Miswiring the brain: Δ9-tetrahydrocannabinol
disrupts cortical development by inducing an SCG10/stathmin-2
degradation pathway. EMBO J, 33;668-685 (2014)
9.	 Rangamani, P, et al. Decoding Information in Cell Shape. Cell,
154;1-25 (2013)
10.	 neurons generated from pluripotent stem cell-derived neural
stem cells. J. Biomol. Screen, 19;32-43 (2014)
11.	 Mclaren, D, et al. Automated large-scale culture and mediumthroughput chemical screen for modulators of proliferation
and viability of human induced pluripotent stem cell-derived
neuroepithelial-like stem cells. J. Biomol. Screen, 18;258-268 (2013)
12.	 Hughes P, et al. The costs of using unauthenticated, over-passaged
cell lines: how much more data do we need? Biotechniques,
Nov;43(5);575,577-8,581-2 (2007)

cell-sparing nature. Additionally, live-cell analysis

13.	 Gupta, N, et al. Microfluidics-based 3D cell culture models: Utility
in novel drug discovery and delivery research. Bioeng Transl Med,
1;6381 (2016)

allows pre-treatment normalization of cells, which

14.	 Fang, Y, Eglen, RM. Three-Dimensional Cell Cultures in Drug
Discovery and Development. SLAS Discov, 225;456-472 (2017)

further increases assay robustness and enables

15.	 Thoma, CR, et al. 3D cell culture systems modeling tumor growth
determinants in cancer target discovery. Adv Drug Deliv Rev,
69-70;29-41 (2014)

accurate characterization of small changes.
Scientists need to be able to trust their data and
maximize their chance of success, while reducing
the risk of their studies failing-and live-cell
monitoring paves the way to achieve this.

16.	 Haycock, JW. 3D cell culture: a review of current approaches and
techniques. Methods Mol Biol, 695;1-15 (2011)
17.	 Lancaster, MA, Knoblich, JA. Organogenesis in a Dish: Modeling
Development and Disease Using Organoid Technologies. Science,
345;124-125 (2014)
18.	 Ihry RJ, et al. p53 inhibits CRISPR-Cas9 engineering in human
pluripotent stem cells. Nat Med, 4;939-946 (2018)

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