Director, Teng-Leong Chew and Bioimage Data Analyst, Rachel Lee, Advanced Imaging Center, Janelia Research Campus, USA will give a course on digital image processing and analysis with focus on machine learning.

On the 19th, there will be a talk by Dr. Leong followed by options for one-on-one meetings. The actual course will be on the 20-22nd.

Aim: The goal of this hands-on course is to survey the fundamentals of how image pixel data can be used to extract biologically meaningful information. Participants will install FIJI and will be given ample opportunity to work on actual images for a truly hands-on learning experience. Opportunities to discuss individual projects will also be available.

Learning outcomes: Participants will gain practical experience with FIJI and basic principles of imaging processing. Learning outcomes include increased skills in image denoising, segmentation, colocalization, and particle tracking.

Workload: The full workload of the course is expected to be 57,5 hours.

Content: The course touches the following elements:

• Fundamentals of Digital Images

The underlying operation of digital photon detectors, how detector parameters affect image quality and accuracy, fundamental concepts of digital images, image correction, file format, colour format, image compression.

• Basic Principles of Image Processing

Linear and non-linear operation, neighbourhood- and non-local denoising approaches, image filters, feature enhancement techniques, edge detection.

• Fourier Transformation

Principles of Fourier transformation and its applications in image processing, apodization filter, frequency space and optics, use of Fourier transformation in microscopy

• Object Segmentation

Approaches to object segmentation: watershed, morphological filters, image threshold, 1st, and 2nd order derivative object-recognition methods

• Machine-learning and Object Segmentation

Underlying principles of machine learning in image processing; Weka trainable object segmentation

• Object-based Colocalization

Introduction to Boolean arguments, image intersection and image union

• Intensity-based Measurement and Analysis

Digital analysis of intensity measurement, pixel-based colocalization (Pearson’s, Manders’, and Spearman’s coefficients), intensity modulated display in ratiometric image analysis

• Tracking Biological Changes and Movement

Kymograph, measurement of structural changes, localization precision, tracking movement, mathematical description and modelling of translocation behaviour

Participants:

There are 20 spots for PhD students and 20 for post docs/faculty. Please write a small justification for your reason to participate in the course. Participants will be selected to represent as many Danish Research Institutions as possible. There will be a small fee of 2100 DKK for post docs/faculty.

Sign up for PhD students:

https://au.phd-courses.dk/CourseCatalog/ShowCourse/1091?returnUrl=https%3A%2F%2Fau.phd-courses.dk%2FCourseCatalog%2FShowCourses%2F%3Fquery%3Dc290%26showOpen%3Dtrue%26sortOrder%3DStartDate

Sign up for post docs/faculty:

https://events.au.dk/digitalimageprocessingandanalysis