useq-schema 0.4.7

Schema for multi-dimensional microscopy experiments

useq-schema

An implementation agnostic schema for describing a sequence of events during a multi-dimensional imaging acquisition.

Documentation: https://pymmcore-plus.github.io/useq-schema/

The goal of this repo is to provide a specification (and some python utilities) for generating event objects that can be consumed by microscope acquisition engines. The hope is that this will encourage interoperability between various efforts to drive automated image acquisition.

The schema tries to remain agnostic to the specific acquisition engine, though it was designed around the needs of Micro-Manager. One hope is to solicit feedback from interested parties regarding limitations and/or potential extensions to the schema. Similarly, while the "ideal" schema will support arbitrary dimensions (i.e. more than the conventional position, time, channel, z, ...), it also hard to avoid hard-coding some assumptions about dimensionality in certain places.

Any and all feedback is welcome! Please get in touch if you have any thoughts.

MDAEvent

The primary "event" object is useq.MDAEvent. This represents a single event that a microscope should perform, including preparation of the hardware, and execution of the event (such as an image acquisition). This is the simpler, but more important of the two objects. Downstream libraries that aim to support useq schema should support driving hardware based on an Iterable[MDAEvent].

• For micro-manager, this object is most similar (though not that similar) to the events generated by generate-acq-sequence in the clojure acquisition engine.
• For pycro-manager, this object is similar to an individual acquisition event dict generated by multi_d_acquisition_events, (and, useq.MDAEvent provides a to_pycromanager() method that returns a single pycro-manager event dict)
• your object here?...

See useq.MDAEvent documentation for more details.

Note: useq-schema uses pydantic to define models, so you can retrieve the json schema for the MDAEvent object with MDAEvent.schema_json()

MDASequence

useq.MDASequence is a declarative representation of an entire experiment. It represents a sequence of events (as might be generated by the multidimensional acquisition GUI in most microscope software). It is composed of "plans" for each axis in the experiment (such as a Time Plan, a Z Plan, a list of channels and positions, etc.). A useq.MDASequence object is itself iterable, and yields MDAEvent objects.

• For micro-manager, this object is most similar to org.micromanager.acquisition.SequenceSettings, (generated by clicking the "Acquire!" button in the Multi-D Acquisition GUI)
• For pycro-manager, this object is similar to the multi_d_acquisition_events convenience function, (and useq.MDASequence provides a to_pycromanager() method that returns a list of pycro-manager events)
• your object here?...

See useq.MDASequence documentation for more details.

example MDASequence usage:

from useq import MDASequence

mda_seq = MDASequence(
    stage_positions=[(100, 100, 30), (200, 150, 35)],
    channels=["DAPI", "FITC"],
    time_plan={'interval': 1, 'loops': 20},
    z_plan={"range": 4, "step": 0.5},
    axis_order='tpcz',
)
events = list(mda_seq)

print(len(events))  # 720

print(events[:3])

# [MDAEvent(
#     channel=Channel(config='DAPI'),
#     index=mappingproxy({'t': 0, 'p': 0, 'c': 0, 'z': 0}),
#     min_start_time=0.0,
#     x_pos=100.0,
#     y_pos=100.0,
#     z_pos=28.0,
#  ),
#  MDAEvent(
#     channel=Channel(config='DAPI'),
#     index=mappingproxy({'t': 0, 'p': 0, 'c': 0, 'z': 1}),
#     min_start_time=0.0,
#     x_pos=100.0,
#     y_pos=100.0,
#     z_pos=28.5,
#  ),
#  MDAEvent(
#     channel=Channel(config='DAPI'),
#     index=mappingproxy({'t': 0, 'p': 0, 'c': 0, 'z': 2}),
#     min_start_time=0.0,
#     x_pos=100.0,
#     y_pos=100.0,
#     z_pos=29.0,
#  )]

serialize to yaml or json

print(mda_seq.yaml())

axis_order: tpcz
channels:
- config: DAPI
- config: FITC
stage_positions:
- x: 100.0
  y: 100.0
  z: 30.0
- x: 200.0
  y: 150.0
  z: 35.0
time_plan:
  interval: 0:00:01
  loops: 20
z_plan:
  range: 4.0
  step: 0.5

Executing useq-schema experiments with pymmcore-plus

pymmcore-plus implements an acquisition engine that can execute an MDASequence using micro-manager in a pure python environment (no Java required).

from pymmcore_plus import CMMCorePlus

core = CMMCorePlus()
core.loadSystemConfiguration()  # loads demo by default

core.mda.run(mda_seq)  # run the experiment

# or, construct a sequence of MDAEvents anyway you like
events = [MDAEvent(...), MDAEvent(...), ...]
core.mda.run(events)

See pymmcore-plus documentation for details