Image analysis for biologists

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

Lecture Overview

Image analysis for biologists

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.

Image analysis for biologists

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.

Image analysis for biologists

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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Start Date: 01-April-2025 | End Date: 31-March-2026


Start Date: 01-April-2025 | End Date: 31-March-2026