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transcripts from our recorded events
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[Video event 68] A Bioimage Data Analysis Workflow with scikit-image #215

Closed meher-chinmaya closed 10 months ago

meher-chinmaya commented 10 months ago

Marianne Corvellec: A Bioimage Data Analysis Workflow with scikit-image

Timestamps

00:00 Data Umbrella Introduction 03:38 Speaker Introduction - Marianne Corvellec 04:26 Let’s get started for the presentation 05:30 Introduction to scikit-image 06:20 Measure fluorescence intensity at the nuclear envelope 07:58 Prep work to follow along 08:46 Checking the system 09:03 Importing the Python libraries 10:40 Import imageio to manage data 12:15 Analyze the data 15:32 Segment the nucleus rim 18:21 Apply the segmented rim as a mask 18:44 Measure the total intensity 19:53 Process the entire image sequence 26:20 Visualize: Change in fluorescence intensity at nuclear envelope the plot for change 28:14 Q&A Section 28:37 Q&A - Call to compare the result 29:56 Q&A - Pre-processing 31:59 Q&A - Future perspective for scikit-image 34:20 Q&A - scikit-image in the ecosystem of image processing 37:51 Q&A - confusion between scikit-learn and scikiti-mage 39:52 Q&A - scikitimage branding 41:29 Q&A - Biomedical image grant 43:00 Q&A - Drift detector for a classification model 44:35 Thanksgiving

Resources

https://scikit-image.org/docs/0.19.x/auto_examples/applications/plot_fluorescence_nuclear_envelope.html

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reshamas commented 10 months ago

Thank you @ckmeher The timestamps have been added to the video description and the checklist has been updated.