Lecture
Image Processing Fundamentals
In course
DEMO: anim nulla ipsum mollit
Dolor ullamco exercitation velit aliquip commodo proident proident eiusmod ipsum sint non anim aute. Ad aute mollit veniam aliquip consectetur incididunt sunt nulla esse culpa eiusmod mollit eiusmod. Non esse aliqua sit officia deserunt esse nulla non sunt nisi ex do laboris.
Description
This lecture covers the fundamentals of image processing for microscopy, including acquiring images, correcting defects, enhancing images in spatial and frequency domains, and extracting quantitative information through segmentation and thresholding. It also introduces the software practice using ImageJ/Fiji. Reading materials include 'The Image Processing Handbook' and 'Transmission Electron Microscopy'. Topics include image acquisition systems, detectors, color adjustments, noise reduction techniques, and neighborhood averaging. The lecture emphasizes the importance of reproducibility in image processing and the ethical considerations involved.
Instructors (2)
est mollit
Dolore ut do esse in eiusmod est quis consequat dolor consequat consectetur consectetur. Ea nulla ullamco ut adipisicing sit. Sunt magna cillum eiusmod reprehenderit. Nulla ad Lorem do amet dolore consequat est ullamco voluptate laboris ut elit. Laboris duis Lorem sunt mollit sunt non eu culpa sit sunt quis. Aute cupidatat elit deserunt qui deserunt tempor sint nisi. Ex eiusmod minim incididunt sit enim.
qui Lorem
Ullamco ea dolore pariatur aliqua amet elit commodo mollit. Fugiat veniam esse aliqua non labore ipsum ut proident proident aliqua ullamco. Officia sunt commodo irure magna nisi sunt. Anim esse exercitation ea amet veniam magna culpa nostrud eu ipsum reprehenderit non dolore voluptate. Consequat laborum fugiat do velit proident eiusmod eu consequat aliqua. Proident excepteur ullamco proident culpa velit laborum dolore deserunt est nostrud. Sunt nulla excepteur anim aliqua in Lorem enim cillum labore.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Ontological neighbourhood
Related lectures (96)
Image Processing Fundamentals
Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.
Advanced TEM Operation
Covers advanced operation techniques for a Transmission Electron Microscope (TEM), including setting up the workset and fine-tuning the image.
Dose Management in Electron Microscopy
Explores the challenges and solutions for managing electron dose in microscopy, emphasizing the importance of accurate dose tracking and analysis.
Optical Image Sensors: Technology and Noise Suppression
Explores optical image sensors, their history, architecture, specifications, and noise suppression techniques.
Optical Image Sensors: Introduction and Architecture
Explores the history, architecture, and specifications of optical image sensors, including noise suppression techniques and measurement methods.