Please note: This instance is for testing/development, and any content submitted may be changed or deleted without warning.
Training eSupport System
  • Log In
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Trainers
    • Providers
    • Nodes

TeSS makes use of some necessary cookies to provide its core functionality.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Scientific topic
    • Diffraction experiment12
    • Imaging12
    • Microscopy12
    • Microscopy imaging12
    • Optical super resolution microscopy12
    • Photonic force microscopy12
    • Photonic microscopy12
    • Show N_FILTERS more
    • Tool
    • Galaxy
    • Galaxy Image Analysis7
    • scikit-image7
    • CellProfiler3
    • OMERO1
    • PyTorch1
    • SCANPY1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training12
    • Show N_FILTERS more
    • Keyword
    • Imaging
    • biodiversity40
    • Proteomics39
    • microgalaxy37
    • Single Cell30
    • Ecology27
    • Genome Annotation24
    • Statistics and machine learning22
    • Transcriptomics22
    • Assembly18
    • Microbiome16
    • Variant Analysis16
    • interactive-tools16
    • Using Galaxy and Managing your Data15
    • jbrowse115
    • Climate13
    • gmod13
    • Sequence analysis12
    • prokaryote12
    • Epigenetics11
    • Metabolomics10
    • covid1910
    • earth-system10
    • eukaryote10
    • label-free10
    • Introduction to Galaxy Analyses9
    • one-health9
    • plants9
    • work-in-progress9
    • DDA8
    • assembly8
    • Computational chemistry7
    • EBV dataset7
    • EBV workflow7
    • ocean7
    • paper-replication7
    • 10x6
    • Foundations of Data Science6
    • MIGHTS6
    • cyoa6
    • data management6
    • nanopore6
    • transcriptomics6
    • workflows6
    • Visualisation5
    • illumina5
    • label-TMT115
    • metagenomics5
    • mouse5
    • virology5
    • 16S4
    • DIA4
    • Evolution4
    • Genetic composition EBV class4
    • HeLa4
    • QC4
    • bacteria4
    • bioimaging4
    • collections4
    • metabarcoding4
    • pangeo4
    • ChIP-seq3
    • FAIR3
    • RAD-seq3
    • amr3
    • bulk3
    • data import3
    • ecology3
    • epigenetics3
    • gbif3
    • human3
    • metatranscriptomics3
    • modeling3
    • pacbio3
    • proteogenomics3
    • rna-seq3
    • taxonomic data3
    • Community composition EBV class2
    • Contributing to the Galaxy Training Material2
    • Data Paper2
    • EML2
    • Galaxy Server administration2
    • Metadata2
    • R2
    • Species population EBV class2
    • Species populations EBV class2
    • VGP2
    • apollo22
    • climate2
    • deep-learning2
    • essential genes2
    • eukaryota2
    • evolution2
    • jupyter-lab2
    • machine-learning2
    • maker2
    • marine omics2
    • ncbi2
    • netcdf data2
    • phylogenetics2
    • Show N_FILTERS more
    • Difficulty level
    • Beginner10
    • Intermediate2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International12
    • Show N_FILTERS more
    • Target audience
    • Students12
    • Show N_FILTERS more
    • Author
    • Leonid Kostrykin5
    • Riccardo Massei4
    • Beatriz Serrano-Solano3
    • Diana Chiang Jurado2
    • Jean-Karim Hériché2
    • Thomas Wollmann2
    • Allison Creason1
    • Anne Fouilloux1
    • Cameron Watson1
    • Even Moa Myklebust1
    • Saskia Hiltemann1
    • Yi Sun1
    • Show N_FILTERS more
    • Contributor
    • Björn Grüning9
    • Leonid Kostrykin8
    • Saskia Hiltemann8
    • Beatriz Serrano-Solano7
    • Helena Rasche6
    • Riccardo Massei3
    • Anne Fouilloux2
    • Cristóbal Gallardo2
    • Diana Chiang Jurado2
    • Thomas Wollmann2
    • Anup Kumar1
    • Armin Dadras1
    • Cameron Watson1
    • Even Moa Myklebust1
    • Martin Čech1
    • Show N_FILTERS more
    • Resource type
    • e-learning11
    • slides1
    • Show N_FILTERS more
    • Related resource
    • Associated Workflows11
    • Associated Training Datasets8
    • Show N_FILTERS more
  • Show disabled materials
  • Hide archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Tools: Galaxy

and Keywords: Imaging

and Include archived: true

12 materials found
  • e-learning

    Voronoi segmentation

    • beginner
    Imaging imageanalysis segmentation voronoi
  • e-learning

    Parameter tuning and optimization - Evaluating nuclei segmentation with Galaxy

    • beginner
    Imaging bioimaging
  • e-learning

    Using BioImage.IO models for image analysis in Galaxy

    • beginner
    Imaging AI bioimaging
  • e-learning

    Quantification of single-molecule RNA fluorescence in situ hybridization (smFISH) in yeast cell lines

    • beginner
    Imaging RNA bioimaging smFISH
  • e-learning

    Overview of the Galaxy OMERO-suite - Upload images and metadata in OMERO using Galaxy

    •• intermediate
    Imaging
  • e-learning

    Tracking of mitochondria and capturing mitoflashes

    • beginner
    Imaging bioimaging mitochondria mitoflash
  • e-learning

    Analyse HeLa fluorescence siRNA screen

    •• intermediate
    Imaging HeLa
  • e-learning

    Introduction to Image Analysis using Galaxy

    • beginner
    Imaging HeLa
  • e-learning

    Object tracking using CellProfiler

    • beginner
    Imaging
  • e-learning

    End-to-End Tissue Microarray Image Analysis with Galaxy-ME

    • beginner
    Imaging
  • 1
  • 2
Training eSupport System
contact@example.com
Contribute
About TeSS
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.0
Source code
API documentation
Bioschemas testing tool

TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.