Pygellan is a Python library for enabling microscope acquisition control and data analysis. It works together with the Micro-manager plugin, Micro-magellan. Pygellan has two subpackages,
pygellan.magellan_data which are for data acquisition/hardware control and data anlysis, respectively. Pygellan is integrated with other projects in the scientific python ecosystem, including Napari (for data visualization) and Dask (for large scale data analysis). Pygellan development is currently in alpha--new features are being added and there are not yet guarantees on the stability of the API. Information about future development can be found on the issues page. Feel free to add comments, ideas, or other feedback on the issues page.
- Install pygellan using
pip install pygellan(Pygellan is tested with Python 3.6 but should also work with other versions of Python3)
If using pygellan for acquisition control with micro-manager, you also must:
Download and install Nico Stuurman's 2.0gamma build of micro-manager. Latest nightly builds can be found here
Open Micro-manager, select tools-options, and check the box that says "Run server on port 4827"
To use Pygellan for acqusition control, simply open the micro-manager2.0gamma GUI as usual and launch the Micro-magellan plugin. Start a python process in a way of your choosing (e.g. terminal, IDE, Jupyter notebook). Type:
from pygellan.acquire import PygellanBridge bridge = PygellanBridge() #establish communication with Magellan
If the bridge object is created successfully, you are connected to Micro-Magellan and can use the rest of the
Controlling the Micro-manager core
The micro-manager core provides low-level functionality like capturing images and controlling individual devices. An example can be seen here.
The core API is discovered dynamically at runtime, though not every method is implemented. Typing
core. and using autocomplete with IPython is the best way to discover which functions are available. Documentation on for the Java version of the core API (which Pygellan ultimately calls) can be found here.
Controlling Micro-magellan acquisitions
This area is still under active development. Future plans can be seen on the issues tab with the enhancement label. Comments/feedback./requests for different use cases are welcome.
In the mean time, some basic functionality is already available:
See this example for how to start and stop Micro-magellan acquisitions through Python.
This example shows how to call the various acquisition settings on the Micro-magellan GUI to automatically setup experiments
Reading data in Python
pygellan.magellan_data API enables reading of data acquired with pygellan/Micro-magellan directly in python. Tiles can be loaded individually, or all data can be loaded simulataneously into a memory-mapped Dask array, which works like a numpy array and also allows scalable processing of large datasets and viewing data in Napari. More information can be seen in this example