Image Data

Virtual Mixed

Image Data modules are dedicated to image processing and analysis, image data visualization, data management, and image data repositories.

01
Introduction to Image Analysis (7 topics)
User, Staff beginner 1 hour 47 mins 57 secs
Last updated 4 weeks ago

This module invites you to learn fundamentals of image analysis by viewing two videos delivered by Christian Tischer (EMBL, Heidelberg, Germany) and Nicholas Gordon (Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia).

Introduction to Image Processing

Presenter: Nicholas Gordon, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia

Introduction to Image Processing - Topics
  • What is an image? (image types, dimensions, RGB/monochrome)
  • What makes a good image? (image size, signal-to-noise ratio, saturation, consistency)
  • Basics of sample preparation
  • Optical resolution, Nyquist sampling
  • Best practices of image analysis
  • Examples of image manipulation
Fundamentals of Image Analysis

Presenter: Christian Tischer, EMBL, Heidelberg, Germany

Fundamentals of Image Analysis - Topics
  • What are the sources of image data?
  • What is bioimage analysis?
  • Bioimage analysis is followed by statistical data analysis
  • Quantification, reproducibility, and statistics are state-of-the-art
  • What is the content of an image and how to visualize the contents of an image?
  • Image formation: blur and noise
  • Image restoration: deblurring and denoising
  • Image processing: convolution filter
  • Image segmentation
  • Image processing facilitates image segmentation
  • Morphological (rank) filtering
  • Machine learning for image segmentation
  • Objects measurements
  • Calibrated objects measurements
  • Open source bioimage analysis ecosystem
Course: Image Processing and Analysis for Life Scientists

This free of charge course on edX platform covers basic image analysis for life scientists. This course will teach you necessary steps from image acquisition to image filtering and segmentation. In addition, open source software solutions will be demonstrated as part of this course. For a detailed overview of the course and the learning objectives, head out to edX platform where this course is delivered.

Source material
  1. Fundamentals of Image Analysis: Global BioImaging in collaboration with India BioImaging Consortium
  2. Introduction to Image Processing: Institute for Molecular Bioscience Microscopy
02
ImageJ and Fiji: image analysis (16 topics)
User, Staff beginner 2 hours 37 mins 54 secs
Last updated 1 month ago
03
Imaris: image analysis and visualization (24 topics)
User beginner 5 hours 47 mins 30 secs
Last updated 2 months ago
04
OMERO: data management (10 topics)
User, Staff intermediate 3 hours 10 mins 9 secs
05
Image data repositories (16 topics)
User intermediate 3 hours 8 mins 9 secs