Image Analysis Open Office
The DBI-INFRA Image Analysis Core Facility will be visiting the Aarhus University Bioimaging Core Facility at the Institute of Biomedicine to provide free consultation sessions for life scientist with bioimage analysis questions. Our team will provide you with guidance on your bioimage analysis problems and you will also have a chance to learn from the questions of your peers.
QuPath workshop
Are you interested in QuPath for digital pathology?
If so, join us at the University of Aarhus for this free one day workshop (limited seats available)!
During this hands-on workshop organised on wednesday 17 April 2024, participants will be introduced to QuPath, a powerful user-friendly bioimage analysis software designed to extract quantitative information from microscopy images. QuPath is optimised to process whole slide images from digital pathology, but it can also handle 2D images acquired by most fluorescence microscopes. Common uses include the identification, measurement and classification of nuclei, cells and regions of interest in the images.
Python4BIA Workshop (2nd edition)
Python quickly became the lingua franca for scientific computing and the recent development of deep learning algorithms. During this 2 day workshop (which does not assume any prior programming knowledge), we will cover Python language essentials and quickly ramp up to bioimage analysis techniques in a hands on fashion. The next segment of the course covers the use and programmatic access to Napari, a powerful nD viewer, and the deployment and training of foundation bioimage analysis deep learning networks such as U-NET and Stardist.
Quantitative 3D Bioimaging PhD Course
Learn how to quantitatively address spatial biomedical research questions using two- and three-dimensional microscopy and image analysis. This 5-day intensive residential course includes lectures on how to design and run quantitative imaging pipelines and publish the results, inspirational research talks, and demo workshops in laser scanning & spinning disc confocal microscopy and image analysis.
Python4BIA Workshop
Python quickly became the lingua franca for scientific computing and the recent development of deep learning algorithms. During this 2 day workshop (which does not assume any prior programming knowledge), we will cover Python language essentials and quickly ramp up to bioimage analysis techniques in a hands on fashion. The next segment of the course covers the use and programmatic access to Napari, a powerful nD viewer, and the deployment and training of foundation bioimage analysis deep learning networks such as U-NET and Stardist.
BioImage Analysis PhD Course
This PhD course consists of a preparation (June 16) on Image formation and ImageJ basics, followed by 5 day course (June 19-23) on image analysis (filters, pixel & object classification, object segmentation). It covers several widely used applications (ImageJ, QuPath, CellProfiler, Napari) and an introduction to programming and automation to assemble algorithms into advanced image analysis workflows. Time will also be allocated to apply what you learned on your own data. Please find more info here and register here (participation cost: 2.500 Kr).
QuPath Workshop
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