Methods for image and spectral data analysis and interpretation
- 2-2 ECTS credits
- Academic year 2024-2025
- DP00AS73-3001
Education information
Implementation date
09.06.2025 - 13.06.2025
Enrollment period
-
Education type
Field-specific studies
Alternativity of education
Optional
Location
Venue location
Course is arranged onsite.
9.6. Linnanmaa: L2
10.6. Linnanmaa: L2
11.6. Linnanmaa: Lo124
12.6. Kontinkangas: F202, 103A and 105A
Enrollment and further information
Education description
Doctoral researchers will learn how to take full advantage of the computational methods available to process, enhance and analyse their imaging and characterisation data. Use of computer vision and computer learning algorithms for image processing and analysis. First principles calculations as a tool for interpreting characterisation data. Principal component analysis for spectroscopic and multimodal data.
Course topics: Course includes lectures, demos and exercises on the following topics:
- Computer vision and image analysis, Machine learning, Artificial intelligence
- Environmental research: remote sensing, spectral remote sensing data, satellite imagery tools, multispectral UAV data
- Materials research: X-ray photoelectron spectroscopy (XPS), ambient pressure x-ray photoelectron spectroscopy (APXPS), Spectroscopic Scanning Transmission X-ray Microscopy (STXM)
- Biomedical research: Raman spectroscopic imaging, X-ray computed tomography methods, Raman spectrum analysis, Unenhanced computed tomography (uCT), Cone-Beam Computed Tomography
Mode of delivery: Lectures, demos, computer exercises, training through tests and individual assignment
More detailed information on the course will be sent out to the participants according to the registration. Initial schedule for the lectures, demos and exercises is going to be updated May 2025.