Lectures related to Multispectral imaging

Imaging Techniques: Geometric and Radiometric Distortions

Discusses imaging techniques, focusing on geometric and radiometric distortions in aerial photography and their implications for data interpretation.

Geomatics Applications and Monitoring Techniques

Explores geomatics applications, laser scanning, 3D modeling, and hyperspectral imaging for vegetation analysis and monitoring unstable areas.

Earth Observation Infrastructures: Space4Impact

Explores Earth Observation infrastructures, emphasizing the role of data in enabling fact-based decisions and showcasing various Earth Observation payloads.

Optical Filters: Understanding Properties and Selection

Explains the importance of understanding optical filter properties and selecting suitable combinations for fluorescence microscopy.

Fluorescence in Microscopy: Introduction & Labeling Techniques

Covers the introduction to fluorescence in microscopy, labeling techniques, specificity of markers, multi-color imaging, and factors affecting fluorescence properties.

Linear Regression: Statistical Inference and Regularization

Covers the probabilistic model for linear regression and the importance of regularization techniques.

Managing Innovation: Strategies & Tools

Delves into managing innovation, discussing strategies, tools, and the impact on industries.

High Speed Imaging: Advanced CCD and CMOS Technologies

Covers advanced CCD and CMOS camera technologies for high-speed imaging applications, including line sensors and in-situ storage image sensors.

Quantum Technologies: Advancements in Life Sciences

Covers the application of quantum technology in life sciences, focusing on advancements in imaging and sensing techniques for neurodegeneration detection.

Image Processing Fundamentals

Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.

Snow Measurements and Analysis

Explores methods for snow measurement and analysis using techniques like laser scanning and infrared imaging.

Optical Detection: Position-Sensitive Detectors and Applications

Covers optical detection methods, focusing on position-sensitive detectors and their applications in various fields.

Nonlinear Optics: Introduction

Introduces the history and applications of nonlinear optics, focusing on the Optical Kerr Effect and various nonlinear parametric processes.

Computed Tomography: Examples and Summary

Covers examples of computed tomography in humans and mice, main contrasts, contrast agents, and scanner evolution.

Image Processing Fundamentals

Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.