imaging

Tutorials covering imaging

Material

You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides () and tutorial () buttons below.

Imaging

Lesson Slides Hands-on Recordings Input dataset Workflows
Analyse HeLa fluorescence siRNA screen
Image segmentation Object feature extraction Image thresholding High-throughput screening Overlay Fluorescence microscopy
Content Tracking and Verification in Galaxy Workflows with ISCC-SUM
Data management Data handling Data sharing Validation
End-to-End Tissue Microarray Image Analysis with Galaxy-ME
Image segmentation Tissue imaging
Execute a BiaPy workflow in Galaxy
Image segmentation Image annotation Deep learning Conversion Overlay 3D image Volume rendering
Introduction to Image Analysis using Galaxy
Image segmentation Image thresholding Conversion Object counting Overlay Fluorescence microscopy
Nucleoli segmentation and feature extraction using CellProfiler
Image segmentation Object feature extraction Multi-channel image
Object tracking using CellProfiler
Isolated object tracking Multi-channel image
Overview of the Galaxy OMERO-suite - Upload images and metadata in OMERO using Galaxy
Data management Data handling Data sharing ROI selection
Parameter tuning and optimization - Evaluating nuclei segmentation with Galaxy
Image segmentation Parameter optimisation Validation
Quantification of electrophoresis gel bands using QuPath and Galaxy imaging tools
ROI selection Conversion Object feature extraction Multi-channel image
Quantification of single-molecule RNA fluorescence in situ hybridization (smFISH) in yeast cell lines
IDR dataset Spot detection Rasterisation Overlay
Segmentation of Anatomical Structures in Medical 3-D Images
Image segmentation Conversion Overlay Object feature extraction Medical imaging Computed tomography 3D image Volume rendering
Tracking of mitochondria and capturing mitoflashes
Isolated object tracking Temporal analysis Time-lapse data
Training Custom YOLO Models for Segmentation of Bioimages
Image segmentation Image annotation Deep learning
Using BioImage.IO models for image analysis in Galaxy
Image segmentation Image annotation Deep learning
Voronoi segmentation
Tessellation Image segmentation Object counting Overlay Multi-channel image
Where to start with bioimage analysis in Galaxy
Microscopy Bioimaging Histology

Proteomics

Lesson Slides Hands-on Recordings Input dataset Workflows
Mass spectrometry imaging: Loading and exploring MSI data
mouse imaging

Contributors

This material was contributed to by:

orcid logoBjörn Grüning avatar Björn GrüningReyhaneh Tavakoli avatar Reyhaneh Tavakoliorcid logoArmin Dadras avatar Armin DadrasJean-Karim Hériché avatar Jean-Karim Hérichéorcid logoAllison Creason avatar Allison Creasonorcid logoRiccardo Massei avatar Riccardo MasseiArif ul Maula Khan avatar Arif ul Maula Khanorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoHelena Rasche avatar Helena Rascheorcid logoEven Moa Myklebust avatar Even Moa Myklebustorcid logoAnup Kumar avatar Anup Kumarorcid logoDiana Chiang Jurado avatar Diana Chiang JuradoDaniel Franco Barranco avatar Daniel Franco Barrancoorcid logoLeonid Kostrykin avatar Leonid Kostrykinorcid logoBérénice Batut avatar Bérénice Batutorcid logoMartin Etzrodt avatar Martin Etzrodtorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoThomas Wollmann avatar Thomas WollmannMaria Arrate Munoz Barrutia avatar Maria Arrate Munoz Barrutiaorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoMelanie Föll avatar Melanie Föllorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoCameron Watson avatar Cameron Watsonorcid logoMaarten Paul avatar Maarten Paulorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoMartin Čech avatar Martin ČechYi Sun avatar Yi Sun

Funding

These individuals or organisations provided funding support for the development of this resource

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UFR
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de.NBI
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DFG
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ELIXIR Europe
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NFDI4Bioimage
NFDI4BIOIMAGE is a nationwide community of researchers, imaging specialists and data experts who work with biological image data. We support anyone who generates, analyses or manages microscopy and bioimaging data. Our aim is to make imaging data easier to find, access, reuse and share by providing practical tools, clear guidance and hands on training. We collaborate closely with laboratories and research communities across Germany to understand their needs and develop solutions that help with real everyday challenges. Whether you are building new workflows, exploring advanced analysis methods or improving your data management, NFDI4BIOIMAGE offers support, expertise and a welcoming network.
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OSCARS-FIESTA
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OSCARS
The OSCARS project has received funding from the European Commission’s Horizon Europe Research and Innovation programme under grant agreement No. 101129751