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Explore video tutorials on high-content siRNA analysis for cytoskeleton regulation using ZEISS technologies. Learn about automated image segmentation and data analysis to improve feature detection and analysis scalability in experimental settings.

Unlock Cytoskeleton Insights with Advanced siRNA Imaging

Key Takeaways

  • Research focus: High-content siRNA analysis of cytoskeleton regulation.
  • Model system: Cellular imaging using Celldiscoverer 7 with LSM 900.
  • Research goal: Enhance feature detection and analysis scalability.
  • Presented by: ZEISS expert Monika Kirk.
  • Content type: Video Tutorial on image analysis workflow.
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3 min read

In this Video we review the advanced image analysis workflow applied to obtain correlative information for cytoskeleton regulation in an experimental setting.

Imaging was conducted with ZEISS Celldiscoverer 7 with LSM 900 and analyzed using in ZEISS arivis Pro and ZEN. You can scale up your analysis to process more features in many images based on the methods demonstrated. The video is created by Monika Kirk, and is based on a caste study article.

Watch this video to learn how to:

  • Detect an ever-growing number of features in the cell, using automated image segmentation and analysis pipelines
  • Allocate child features to the correct parent cell
  • Use advanced data analysis tools for further statistical analysis.
From Image to Results | High-content siRNA Screen for Cytoskeleton Regulation
From Image to Results | Enabling 3D Multiplexing Spatial Omics Workflows in Neuroscience
Danielle Mandikian, Genentech
Desktop monitor showing a screen of the ZEISS arivis Cloud software, with segmentation predictions of endothelial cells. Each cell is detected as a separate object.
Desktop monitor showing a screen of the ZEISS arivis Pro software with analysis results of nuclear pore complexes of FIB-SEM volume electron microscopy data.
https://www.zeiss.com/microscopy/en/resources/insights-hub/life-sciences/high-content-sirna-analysis-workflow.html
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Unlock Cytoskeleton Insights with Advanced siRNA Imaging

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