Light microscopy combined with well-established protocols of two-dimensional cell culture facilitates high-throughput quantitative imaging to study biological phenomena. Accurate segmentation of individual cells in images enables exploration of complex biological questions, but can require sophisticated imaging processing pipelines in cases of low contrast and high object density. Deep learning-based methods are considered state-of-the-art for image segmentation but typically require vast amounts of annotated data, for which there is no suitable resource available in the field of label-free cellular imaging. Here, we present LIVECell, a large, high-quality, manually annotated and expert-validated dataset of phase-contrast images, consisting of over 1.6 million cells from a diverse set of cell morphologies and culture densities. To further demonstrate its use, we train convolutional neural network-based models using LIVECell and evaluate model segmentation accuracy with a proposed a suite of benchmarks.

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The human brain voltage-gated Na+ channel type IIA alpha subunit was cloned and stably expressed in Chinese hamster ovary cells and its biophysical and pharmacological properties were studied using whole-cell voltage-clamp. Fast, transient inward currents of up to -8,000 pA were elicited by membrane depolarization of the recombinant cells. Channels activated at -50 mV and reached maximal activation at -10 mV to 0 mV. The reversal potential was 62 +/- 2 mV which is close to the Na+ equilibrium potential. The half-maximal activation and inactivation voltages were -24 +/- 2 mV and -63 +/- 1 mV, respectively. Currents were reversibly blocked by tetrodotoxin with a half-maximal inhibition of 13 nM. The effects of four commonly used anti-convulsant drugs were examined for the first time on the cloned human type IIA channel. Lamotrigine and phenytoin produced concentration- and voltage-dependent inhibition of the type IIA currents, whereas, sodium valproate and gabapentin (up to 1 mM) had no effect. These results indicate that recombinant human type IIA Na+ channels conduct tetrodotoxin-sensitive Na+ currents with similar properties to those observed in recombinant rat brain type IIA and native rat brain Na+ channels. This stable cell line should provide a useful tool for more detailed characterization of therapeutic modulators of human Na+ channels.

Abnormal uterine activity in pregnancy causes a range of important clinical disorders, including preterm birth, dysfunctional labour and post-partum haemorrhage. Uterine contractile patterns are controlled by the generation of complex electrical signals at the myometrial smooth muscle plasma membrane. To identify novel targets to treat conditions associated with uterine dysfunction, we undertook a genome-wide screen of potassium channels that are enriched in myometrial smooth muscle. Computational modelling identified Kir7.1 as potentially important in regulating uterine excitability during pregnancy. We demonstrate Kir7.1 current hyper-polarizes uterine myocytes and promotes quiescence during gestation. Labour is associated with a decline, but not loss, of Kir7.1 expression. Knockdown of Kir7.1 by lentiviral expression of miRNA was sufficient to increase uterine contractile force and duration significantly. Conversely, overexpression of Kir7.1 inhibited uterine contractility. Finally, we demonstrate that the Kir7.1 inhibitor VU590 as well as novel derivative compounds induces profound, long-lasting contractions in mouse and human myometrium; the activity of these inhibitors exceeds that of other uterotonic drugs. We conclude Kir7.1 regulates the transition from quiescence to contractions in the pregnant uterus and may be a target for therapies to control uterine contractility.