This hands-on module introduces biologists to essential image processing and analysis techniques using open-source tools (ImageJ/Fiji, Python). Learn to quantify microscopy images, segment cells, track particles, and extract meaningful biological insights. Topics include image enhancement, thresholding, feature extraction, and basic automation—no prior programming required. Ideal for researchers working with fluorescence, phase-contrast, or live-cell imaging.
2 Days
Duration of course
Online
Learning Mode
Available
Recorded Video
This hands-on module introduces biologists to essential image processing and analysis techniques using open-source tools (ImageJ/Fiji, Python). Learn to quantify microscopy images, segment cells, track particles, and extract meaningful biological insights. Topics include image enhancement, thresholding, feature extraction, and basic automation—no prior programming required. Ideal for researchers working with fluorescence, phase-contrast, or live-cell imaging.
Biologists, life science graduate students, postdocs, and faculty with little to no coding background. Suited for anyone analyzing microscopy data (e.g., cell counting, colocalization, morphology, time-lapse studies) and seeking reproducible, quantitative workflows.
Biologists, life science graduate students, postdocs, and faculty with little to no coding background. Suited for anyone analyzing microscopy data (e.g., cell counting, colocalization, morphology, time-lapse studies) and seeking reproducible, quantitative workflows.
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