Publications by authors named "L Royer"

Elucidating organismal developmental processes requires a comprehensive understanding of cellular lineages in the spatial, temporal, and molecular domains. In this study, we introduce Zebrahub, a dynamic atlas of zebrafish embryonic development that integrates single-cell sequencing time course data with lineage reconstructions facilitated by light-sheet microscopy. This atlas offers high-resolution and in-depth molecular insights into zebrafish development, achieved through the sequencing of individual embryos across ten developmental stages, complemented by reconstructions of cellular trajectories.

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Single-cell sequencing has revolutionized our understanding of cellular heterogeneity and cell state, enabling investigations across diverse fields such as developmental biology, immunology, and cancer biology. However, obtaining a high-quality single-cell suspension is still challenging, particularly when starting with limited materials like Zebrafish embryos, a powerful animal model for studying developmental processes and human diseases. Here, we present an optimized protocol for isolating single cells from individual zebrafish embryos, offering a valuable resource for researchers interested in working with limited starting material.

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Article Synopsis
  • Tracking live cells in various imaging scenarios is essential for studying biological processes, but it’s challenging in complex tissues due to ambiguous segmentation.
  • Ultrack is a new cell-tracking method that integrates multiple segmentation algorithms and uses temporal consistency to improve tracking accuracy, especially in crowded environments.
  • The method has been tested on large datasets from different organisms and outperforms existing techniques, and it's available as a free Python package with plugins for easy use in research settings.
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Background: Levels of care deemed as inappropriate generate moral distress among nurses and other intensive care professionals. Inappropriate levels of care and related moral distress are frequently broached as individual and psychological phenomena, reduced to how individuals feel and think about specific cases. However, this tends to obscure the complex context in which these situations occur, and on which healthcare professionals can act.

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Ion mobility (IM) is often combined with LC-MS experiments to provide an additional dimension of separation for complex sample analysis. While highly complex samples are better characterized by the full dimensionality of LC-IM-MS experiments to uncover new information, downstream data analysis workflows are often not equipped to properly mine the additional IM dimension. For many samples the data acquisition benefits of including IM separations are all that is necessary to uncover sample information and the full dimensionality of the data is not required for data analysis.

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