Concept
Image analysis
Related lectures (107)
Results Tables: Managing and Saving DataMOOC: Image Processing and Analysis for Life Scientists
Covers setting measurements, managing results, using macro language functions, getting statistics, and saving results as CSV files.
Image Analysis Workflow: Batch ProcessingMOOC: Image Processing and Analysis for Life Scientists
Covers regions of interest, unbiased experiments, results storage, and batch image analysis.
Regions of Interest: Manipulation and ApplicationsMOOC: Image Processing and Analysis for Life Scientists
Explores the significance of ROIs in measurements and how to manipulate them.
Drone Imaging Analysis
Explores drone imaging analysis using Meshroom software for civil engineering applications.
Analyze ParticlesMOOC: Image Processing and Analysis for Life Scientists
Covers the process of analyzing particles in images using Fiji software.
Intensity and Localization Analysis
Discusses analyzing intensity and localization in images with fluorescent channels for protein expression changes.
Digital Images and Visual PerceptionMOOC: Image Processing and Analysis for Life Scientists
Covers the definition of digital images, image formation, classification by bit depth, and image analysis.
Image Analysis for Life ScientistsMOOC: Image Processing and Analysis for Life Scientists
Covers the evolution of microscopy and the importance of computer-based image analysis.
Concept-Based Image Systems
Explores concept-based, named entity-based, and perspective connections-based image systems, emphasizing the analysis of graphics and visual relationships between images.
Detecting Objects: Independent ChannelsMOOC: Image Processing and Analysis for Life Scientists
Emphasizes the need for independent channels when detecting objects in images.