Skip to content
This repository has been archived by the owner on Dec 18, 2020. It is now read-only.
/ training-notebooks Public archive

A set of Python Notebooks to demonstrate how to access the images and metadata from OMERO

Notifications You must be signed in to change notification settings

ome/training-notebooks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

training-notebooks

A set of Notebooks to demonstrate how to access the images and metadata from OMERO.

To build the image run, in this repository:

$ docker build -t training-notebooks .

The image contains the dependencies required to connect to OMERO 5.5.x.

To start the image in Jupyter:

$ docker run -it  -p 8888:8888 training-notebooks

To start the image in Jupyterlab:

$ docker run -it  -p 8888:8888 -e JUPYTER_ENABLE_LAB=true training-notebooks

To update a notebook while this is running: In another terminal, get the container ID and copy a notebook e.g. idr0002.ipynb

$ docker ps
$ docker cp CellProfiler/idr0002.ipynb <container_id>:/home/jovyan/notebooks/CellProfiler/idr0002.ipynb

Now refresh the notebook in the browser.

To restart a container and get the URL to open in your browser:

$ docker restart <container_id>
$ docker logs <container_id>

The notebooks in this repository are meant to exemplify how to access data in OMERO.

Notebook Lang Description
OMERO example Py Shows how to connect to OMERO and read data.
Calculate Sharpness Py Calculates sharpness of images and generates heatmaps.
Illumination Correction Py Correct the selected image.
R-OMERO example R Shows how to connect to OMERO and manipulate data using R.
idr0021 ROIs R Read OMERO.table data, performs some basic statistics on it and create a plot.
Statistics Fruit Fly Py Process Images stored in OMERO using CellProfiler.
idr0002 Py Process a plate from idr0002 using CellProfiler.
SimpleFRAP Py Process a dataset measuring the intensity in a named Channel within a ROI.

The notebooks have now been copied to other repositories as specified below. The new repositories give the possiblity to run these notebooks using BinderHub. The notebooks in this repository which were copied will be deleted later:

About

A set of Python Notebooks to demonstrate how to access the images and metadata from OMERO

Resources

Code of conduct

Security policy

Stars

Watchers

Forks

Packages

No packages published