Training materials
-
Training Custom YOLO Models for Segmentation of Bioimages
Deep learning Image annotation Image segmentation advanced
-
End-to-End Tissue Microarray Image Analysis with Galaxy-ME
Image segmentation Tissue imaging analyses
-
Analyse HeLa fluorescence siRNA screen
Fluorescence microscopy High-throughput screening Image segmentation Image thresholding Object feature extraction analyses
-
From peaks to genes
next-steps
-
Using BioImage.IO models for image analysis in Galaxy
Deep learning Image annotation Image segmentation analyses
-
Overview of the Galaxy OMERO-suite - Upload images and metadata in OMERO using Galaxy
Data handling Data management Data sharing introduction
-
Parameter tuning and optimization - Evaluating nuclei segmentation with Galaxy
Parameter optimisation Validation advanced
-
Quantification of single-molecule RNA fluorescence in situ hybridization (smFISH) in yeast cell lines
IDR dataset Overlay Rasterisation Spot detection analyses
-
Object tracking using CellProfiler
Isolated object tracking Multi-channel image analyses
-
Quantification of electrophoresis gel bands using QuPath and Galaxy imaging tools
Conversion Multi-channel image Object feature extraction ROI selection analyses