[Video event 68] A Bioimage Data Analysis Workflow with scikit-image
meher-chinmaya opened this issue · 2 comments
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
🎉 Welcome to Data Umbrella! 🎉 We're really excited to have your input into the project! 💖
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Thank you @ckmeher
The timestamps have been added to the video description and the checklist has been updated.