Tools to fetch and visualize JUMP images
Project description
JUMP-portrait
Utilities for interacting with the JUMP-Cell Painting Gallery dataset on AWS S3. We facilitate querying the JUMP-CP dataset index, retrieving metadata for specific perturbations, and loading microscopy images directly into memory or downloading them to local storage.
Main Functions
Metadata Retrieval
get_item_location_metadata
Search for a specific gene or compound by name or JCP ID to retrieve its location metadata (Source, Batch, Plate, Well, Site) and corresponding S3 URIs.
from jump_portrait.fetch import get_item_location_metadata
# Search for a gene by standard key
metadata = get_item_location_metadata("MYT1")
# Search for a compound by JCP ID
metadata = get_item_location_metadata("JCP2022_000001", input_column="JCP2022")
Image Retrieval
get_jump_image
Fetch a single image directly as a NumPy array using specific coordinate identifiers.
from jump_portrait.fetch import get_jump_image
img = get_jump_image(
source="source_4",
batch="2021_04_26_Batch1",
plate="BR00121565",
well="A01",
channel="DNA",
site=1
)
get_jump_image_batch
Load multiple images into memory in parallel based on a metadata table.
from jump_portrait.fetch import get_item_location_metadata, get_jump_image_batch
# Get metadata for a perturbation
metadata = get_item_location_metadata("MYT1")
# Load all DNA and Mito images for this perturbation into memory
meta_dicts, images = get_jump_image_batch(
metadata,
channels=["DNA", "Mito"],
site=[1, 2]
)
File Operations
download_jump_image_batch
Download a batch of images from S3 to a local directory in a structured or flattened format.
from jump_portrait.fetch import get_item_location_metadata, download_jump_image_batch
metadata = get_item_location_metadata("CLETVKMYAXARPO-UHFFFAOYSA-N")
# Download images to a local folder
download_jump_image_batch(
metadata,
output_dir="./data/images",
channels=["DNA", "RNA"]
)
S3 Utilities
The jump_portrait.s3 module provides lower-level utilities for interacting with the Cell Painting Gallery:
get_image_from_s3uri(uri): Retrieves an image from a specific S3 URI and returns it as a NumPy array. Supports.tif,.tiff,.png, and.npyformats.s3client(use_credentials=False): Creates aboto3client configured for the gallery. By default, it uses unsigned requests (no AWS account required for public data).download_s3uri(meta, output_dir): Downloads a specific file from the gallery based on metadata components.
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