Imaging

Image analysis using Galaxy

Requirements

Before diving into this topic, we recommend you to have a look at:

Material

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

Introduction

Start here if you are new to Image Analysis in Galaxy

Lesson Slides Hands-on Recordings Input dataset Workflows
Introduction to Image Analysis using Galaxy
Image segmentation Image thresholding Conversion Object counting Overlay Fluorescence microscopy
Overview of the Galaxy OMERO-suite - Upload images and metadata in OMERO using Galaxy
Data management Data handling Data sharing ROI selection
Where to start with bioimage analysis in Galaxy
Microscopy Bioimaging Histology
FAIR Bioimage Metadata
Data management Metadata Bioimaging
REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data
Data management Metadata Bioimaging

Analyses

These tutorials will help you analyse your image data

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
End-to-End Tissue Microarray Image Analysis with Galaxy-ME
Image segmentation Tissue imaging
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
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
Tracking of mitochondria and capturing mitoflashes
Isolated object tracking Temporal analysis Time-lapse data
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

Advanced topics

Tutorials covering advanced topics

Lesson Slides Hands-on Recordings Input dataset Workflows
Content Tracking and Verification in Galaxy Workflows with ISCC-SUM
Data management Data handling Data sharing Validation
Execute a BiaPy workflow in Galaxy
Image segmentation Image annotation Deep learning Conversion Overlay 3D image Volume rendering
Parameter tuning and optimization - Evaluating nuclei segmentation with Galaxy
Image segmentation Parameter optimisation Validation
Training Custom YOLO Models for Segmentation of Bioimages
Image segmentation Image annotation Deep learning

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Editorial Board

This material is reviewed by our Editorial Board:

orcid logoLeonid Kostrykin avatar Leonid Kostrykinorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solano

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Contributors

This material was contributed to by:

orcid logoAllison Creason avatar Allison Creasonorcid logoCameron Watson avatar Cameron Watsonorcid logoEven Moa Myklebust avatar Even Moa MyklebustDaniel Franco Barranco avatar Daniel Franco Barrancoorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoKrzysztof Poterlowicz avatar Krzysztof PoterlowiczJean-Karim Hériché avatar Jean-Karim Hérichéorcid logoBjörn Grüning avatar Björn Grüningorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-SolanoAnup Kumar avatar Anup Kumarorcid logoLeonid Kostrykin avatar Leonid Kostrykinorcid logoHelena Rasche avatar Helena Rascheorcid logoKatarzyna Kamieniecka avatar Katarzyna Kamienieckaorcid logoKhaled Jum'ah avatar Khaled Jum'ahArif ul Maula Khan avatar Arif ul Maula Khanorcid logoMartin Čech avatar Martin Čechorcid logoArmin Dadras avatar Armin Dadrasorcid logoMaarten Paul avatar Maarten PaulLaura Cooper avatar Laura Cooperorcid logoPaul De Geest avatar Paul De GeestYi Sun avatar Yi Sunorcid logoThomas Wollmann avatar Thomas WollmannMaria Arrate Munoz Barrutia avatar Maria Arrate Munoz Barrutiaorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoJulia Jakiela avatar Julia JakielaReyhaneh Tavakoli avatar Reyhaneh Tavakoliorcid logoMartin Etzrodt avatar Martin Etzrodtorcid logoRiccardo Massei avatar Riccardo Masseiorcid logoDiana Chiang Jurado avatar Diana Chiang Juradoorcid logoSaskia Hiltemann avatar Saskia Hiltemann

Funding

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

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DFG
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OSCARS-FIESTA
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de.NBI
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UFR
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ELIXIR Europe
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DASH UK
This Fellowship was funded through the ELIXIR-UK DaSH project as part of the UKRI Innovation Scholars: Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1). The project aims to embed Research Data Management (RDM) know-how into UK universities and institutes by producing and delivering training in FAIR data stewardship using ELIXIR-UK knowledge and resources.
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NFDI4Bioimage
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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

References