arcadia-microscopy-tools 0.2.3

Python package for processing large-scale microscopy datasets generated by Arcadia's imaging suite

arcadia-microscopy-tools

This repository contains a Python package called arcadia_microscopy_tools. The purpose of this Python package is for facilitating analysis of large-scale microscopy datasets generated by Arcadia's imaging suite which includes several microscopes:

• Nikon ECLIPSE Ti2-E (Hina)
• Nikon ECLIPSE Ni-E (Babu Frik)
• Leica Stellaris 8 (The Borg)

This package provides tooling for image preprocessing, cell/particle segmentation, morphology analysis, fluorescence quantification, and batch processing pipelines. Supports native ND2 file format via nd2. LIF file support is in progress and will use liffile. The package integrates with popular scientific Python libraries for streamlined high-content screening and quantitative microscopy workflows.

Installation

Basic installation

Install the core package with essential dependencies:

pip install arcadia-microscopy-tools

Optional dependencies

Install with optional features using extras:

• [segmentation] - Cellpose for cell/particle segmentation
• [compute] - Modal for cloud-based processing
• [all] - All optional dependencies

# Example: install with segmentation support
pip install "arcadia-microscopy-tools[segmentation]"

# Or install all optional dependencies
pip install "arcadia-microscopy-tools[all]"

Usage

Loading microscopy images

Load ND2 files from Nikon microscopes:

from pathlib import Path
from arcadia_microscopy_tools.microscopy import MicroscopyImage

# Load a Nikon ND2 file
example_nd2_path = Path("src/arcadia_microscopy_tools/tests/data/example-multichannel.nd2")
image = MicroscopyImage.from_nd2_path(example_nd2_path)

# Access basic properties
image.shape          # Array shape: (4, 256, 256)
image.sizes          # Dimension mapping: {'C': 4, 'Y': 256, 'X': 256}
image.channels       # List of Channel objects: [Channel(name='BRIGHTFIELD', ...), ...]
image.num_channels   # Number of channels: 4

Load LIF files from Leica microscopes:

# Load a Leica LIF file
image = MicroscopyImage.from_lif_path(Path("path/to/image.lif"))

Working with channels

Extract intensity data for specific channels:

from arcadia_microscopy_tools.channels import DAPI

# Get intensity data for a specific channel
dapi_intensities = image.get_intensities_from_channel(DAPI)

# The returned array preserves temporal/spatial dimensions
dapi_intensities.shape  # (256, 256)

For more examples, see the docs/examples directory.

Contributing

See how we recognize feedback and contributions to our code.