[Online] A Bioimage Data Analysis Workflow with Scikit-image
Details
## How to join the webinar
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Video Recording
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Time
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9am PT / 12pm ET / 7pm EAT / 9:30 pm IST
## Speaker
Marianne Corvellec
## Talk Level
Beginner
## Pre-reqs
Beginner knowledge of Scientific Python.
## Prep Work
To follow along, set up an environment with JupyterLab, NumPy, SciPy, Matplotlib, Plotly and scikit-image.
## Resources
## Event
Scikit-image is a well-established Python library boasting a wide collection of image processing algorithms. We show that it is well-suited for bioimage data analysis workflows by presenting a biological application from the literature. The dataset is a time sequence of microscopy images of human cells. The presentation is intended as a step-by-step, follow-along tutorial.
## Speaker
Marianne Corvellec is a core developer of scikit-image, where she specializes in applications of image processing to the life sciences and other scientific fields. Her technical interests include data science workflows, data visualization, and best practices from testing to documenting. She holds a PhD in statistical physics from Ecole Normale Supérieure de Lyon, France. Since 2013, she has been a regular speaker and contributor in the Python, Carpentries, and FLOSS communities.
GitHub: https://github.com/mkcor
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