A foundation model for single-molecule time traces
Project description
OpenFRET Data Format Python Library
This Python library provides tools for reading and writing single-molecule FRET (Förster Resonance Energy Transfer) data according to the OpenFRET data format specification (version 1.0.0).
Installation
pip install openfret
Usage
The library provides classes for representing the different components of the OpenFRET data format: Dataset, Trace, Channel, and Metadata.
Writing Data
from openfret import Dataset, Trace, Channel, Metadata, write_openfret
from datetime import date
# Create Channel objects
channel1 = Channel("donor", [10.0, 12.0, 15.0], excitation_wavelength=488.0, emission_wavelength=520.0)
channel2 = Channel("acceptor", [2.0, 5.0, 8.0], excitation_wavelength=532.0, emission_wavelength=580.0)
# Create a Trace object
trace1 = Trace([channel1, channel2], metadata=Metadata({"molecule_id": "1"}))
# Create a Dataset object
dataset = Dataset(
title="My FRET Experiment",
traces=[trace1],
description="FRET data of protein folding",
experiment_type="2-Color FRET",
authors=["John Doe", "Jane Smith"],
institution="University X",
date=date(2024, 1, 1),
metadata=Metadata({"experiment_id": "123"}),
sample_details={"buffer_conditions": "Phosphate buffer", "other_details": Metadata({"ph": 7.4})}, #Example of nested metadata
instrument_details={"microscope": "Olympus IX71", "other_details": Metadata({"objective": "60x"})}, #Example of nested metadata
)
# Write the dataset to a JSON file
write_openfret(dataset, "fret_data.json")
Reading Data
from openfret import read_openfret
# Read the dataset from a JSON file
loaded_dataset = read_openfret("fret_data.json")
# Access data
print(loaded_dataset.title)
for trace in loaded_dataset.traces:
for channel in trace.channels:
print(f"Channel type: {channel.channel_type}, Data: {channel.data}")
print(loaded_dataset.sample_details["other_details"]) #Accessing the nested metadata
print(loaded_dataset.instrument_details["other_details"]) #Accessing the nested metadata
# Or print the whole dictionary
import json
print(json.dumps(loaded_dataset.to_dict(), indent=4, default=str)) #added default=str to handle the date object in json output
Classes
Metadata(dict): Represents user-defined metadata. Inherits fromdictto allow arbitrary key-value pairs.Channel: Represents a single data channel with intensity data and associated metadata.channel_type(str): String identifier for the channel (e.g., donor, acceptor, FRET).excitation_wavelength(float, optional): Excitation wavelength in nanometers.emission_wavelength(float, optional): Emission wavelength in nanometers.exposure_time(float, optional): Exposure time per frame in seconds.data(List[float]): Intensity values for the channel.metadata(Metadata, optional): Metadata for the channel.
Trace: Represents a single-molecule trace containing multiple channels.channels(List[Channel]): Array of channel data for this trace.metadata(Metadata, optional): Metadata for the trace.
Dataset: Represents a collection of single-molecule traces.title(str): Title of the experiment or dataset.description(str, optional): Detailed description of the experiment.experiment_type(str, optional): Type of experiment.authors(List[str], optional): List of authors.institution(str, optional): Institution where the experiment was conducted.date(datetime.date, optional): Date of the experiment.traces(List[Trace]): Array of single-molecule traces.metadata(Metadata, optional): Metadata for the dataset.sample_details(dict, optional): Details about the sample.instrument_details(dict, optional): Details about the instrument.
Functions
write_openfret(dataset: Dataset, filename: str): Writes aDatasetobject to a JSON file.read_openfret(filename: str) -> Dataset: Reads aDatasetobject from a JSON file.
Contributing
Contributions are welcome! Please open an issue or submit a pull request on GitHub.
License
MIT License
Acknowledgements
This library is based on the OpenFRET data format specification.
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