What You Need to Know Before
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Starts 8 June 2025 15:22
Ends 8 June 2025
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14 minutes
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Overview
Discover a segmentation-free approach to analyzing submicron-resolution spatial transcriptomics in this short talk by Yichen Si from the Eric and Wendy Schmidt Center.
Syllabus
- Introduction to Spatial Transcriptomics
- Traditional vs. Segmentation-free Approaches
- Detailed Explanation of the Segmentation-free Method
- Application to Submicron-resolution Data
- Technological and Computational Challenges
- Conclusion
- Q&A Session
Overview of spatial transcriptomics technology
Importance of spatial resolution in transcriptomics
Challenges with traditional segmentation-based methods
Advantages of a segmentation-free approach
Underlying principles and algorithms
Tools and software used
Handling high-resolution datasets
Case studies and examples
Data processing and storage requirements
Addressing noise and variability
Summary of key points
Future directions in spatial transcriptomics
Open floor for questions and discussion
Subjects
Data Science
