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Developing embryos of different species at different stages during the elongation of their posterior body axis, from left to right in developmental time. The labelled regions in red depict a region of undifferentiated cells called the tailbud, with the corresponding region generated from that tissue shaded in grey. Upper row: lamprey; middle row: catshark; bottom row, zebrafish. This figure has been adapted from the following publication: Steventon, B., Duarte, F., Lagadec, R., Mazan, S., Nicolas, J.-F., & Hirsinger, E. (2016). Species tailoured contribution of volumetric growth and tissue convergence to posterior body elongation in vertebrates. Development, 2016. 143(10):1732-41

How to Study Gene Regulatory Networks in Embryonic Development

Join Dr. Andrea Boni by attending this on-demand webinar to explore how light-sheet microscopy revolutionizes developmental biology. This advanced imaging technique allows for high-speed, volumetric…
GLP-1 and PYY localized to distinct secretory pools in L-cells.

Cutting-Edge Imaging Techniques for GPCR Signaling

With this webinar on-demand enhance your pharmacological research with our webinar on GPCR signaling and explore cutting-edge imaging techniques that aim to understand how GPCR signaling translates…
Salmonellen-Biofilme 3D-Rendering

Mikrobielle Welten erforschen: Räumliche Interaktionen in 3D Lebensmittelmatrizen

Das Micalis Institute ist eine gemeinsame Forschungseinheit in Zusammenarbeit mit INRAE, AgroParisTech und der Université Paris-Saclay. Seine Mission ist es, innovative Forschung im Bereich der…
AI-based transfection analysis (left) of U2OS cells which were transfected with a fluorescently labelled protein. A fluorescence image of the cells (right) is also shown. The analysis and imaging were performed with Mateo FL.

Leveraging AI for Efficient Analysis of Cell Transfection

This article explores the pivotal role of artificial intelligence (AI) in optimizing transfection efficiency measurements within the context of 2D cell culture studies. Precise and reliable…
AI-based cell counting performed with a phase-contrast and fluorescence image using the Mateo FL microscope.

Precision and Efficiency with AI-Enhanced Cell Counting

This article describes the use of artificial intelligence (AI) for precise and efficient cell counting. Accurate cell counting is important for research with 2D cell cultures, e.g., cellular dynamics,…
Image of confluent cells taken with phase contrast (left) and analyzed for confluency using AI (right).

AI Confluency Analysis for Enhanced Precision in 2D Cell Culture

This article explains how efficient, precise confluency assessment of 2D cell culture can be done with artificial intelligence (AI). Assessing confluency, the percentage of surface area covered,…
Intestinal organoids label with FUCCI reporter to follow cell cycle dynamics. Courtesy of Franziska Moos. Liberali lab. FMI Basel (Switzerland).

Dual-View LightSheet Microscope for Large Multicellular Systems

Visualizing the dynamics of complex multicellular systems is a fundamental goal in biology. To address the challenges of live imaging over large spatiotemporal scales, Franziska Moos et. al. present…
THUNDER image of brain-capillary endothelial-like cells derived from human iPSCs (induced pluripotent stem cells) where cyan indicates nuclei and magenta tight junctions.

Rapid Check of Live Stem Cells in Cell-Culture Inserts set in Multi-Well Plates

See how efficient imaging of live iPSC stem cells within cell-culture inserts set in a multi-well plate can be done to evaluate the cells using a THUNDER Imager. Just read this article.
An 8-color spectral unmixing result from a hyperspectral SRS (stimulated Raman scattering) dataset, showing the biochemically distinct structures of a fresh, untreated apple slice.

How to Prepare Samples for Stimulated Raman Scattering (SRS) imaging

Find here guidelines for how to prepare samples for stimulated Raman scattering (SRS), acquire images, analyze data, and develop suitable workflows. SRS spectroscopic imaging is also known as SRS…
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