BioimageAIpub

A Python library to publish Bioimaging datasets to HuggingFace in AI-ready fashion.

Installation

git clone https://github.com/German-BioImaging/bioimageaipub/bioimageaipub.git 
cd bioimageaipub 
pip install -r requirements.txt 

Usage

BioimageAIpub is supplied as a Python library. See demo/demo.ipynb for a Python notebook demonstrating the usage.

Citation

Acknowledgments

This project was supported by and is attributable to the German Cancer Research Center (DKFZ) ...

PaSTa is a nextflow-based end-to-end image analysis pipeline for decoding image-based spatial transcriptomics data. It performs imaging cycle registration, cell segmentation and transcripts peak decoding. It is currently supports analysis of three types of ST technology:

• in-situ sequencing-like encoding
• MERFISH-like encoding
• RNAScope-like labelling

Prerequisites:

1. Nextflow. Installation guide: https://www.nextflow.io/docs/latest/getstarted.html
2. Docker or Singularity. Installation guide: ...

BatchConvert

A command line tool for converting image data into either of the standard file formats OME-TIFF or OME-Zarr.

The tool wraps the dedicated file converters bfconvert and bioformats2raw to convert into OME-TIFF or OME-Zarr, respectively. The workflow management system NextFlow is used to perform conversion in parallel for batches of images.

The tool also wraps s3 and Aspera clients (go-mc and aspera-cli, respectively). ...

This workflow has been created as part of Demonstrator 6 of the project EOSC-Life (within WP3) and is focused on reusing publicly available RNAi screens to gain insights into the nucleolus biology. The workflow downloads images from the Image Data Resource (IDR), performs object segmentation (of nuclei and nucleoli) and feature extraction of the images and objects identified.

Tutorial: https://training.galaxyproject.org/training-material/topics/imaging/tutorials/tutorial-CP/tutorial.html

Workflow for tracking objects in Cell Profiler: https://training.galaxyproject.org/training-material/topics/imaging/tutorials/object-tracking-using-cell-profiler/tutorial.html