Scalable Cytometry Image Processing

Belgium

Pinned Repositories

benchmark
Benchmark code for SCIP
Language:Jupyter Notebook00
dask
Parallel computing with task scheduling
Language:Python0 0 00
dask-jobqueue
Deploy Dask on job schedulers like PBS, SLURM, and SGE
Language:Python0 0 00
dask-mpi
Deploy Dask using MPI4Py
Language:Python00
distributed
A distributed task scheduler for Dask
Language:Python0 0 00
SCIP
Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.
Language:Python7 3 500
SCIP-use-case-workflows
Snakemake workflows for SCIP use cases.
Language:Jupyter Notebook0 1 01

ScalableCytometryImageProcessing/SCIP
Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.
Language:Python7 3 500
ScalableCytometryImageProcessing/benchmark
Benchmark code for SCIP
Language:Jupyter Notebook00
ScalableCytometryImageProcessing/dask
Parallel computing with task scheduling
Language:Python0 0 00
ScalableCytometryImageProcessing/dask-jobqueue
Deploy Dask on job schedulers like PBS, SLURM, and SGE
Language:Python0 0 00
ScalableCytometryImageProcessing/dask-mpi
Deploy Dask using MPI4Py
Language:Python00
ScalableCytometryImageProcessing/distributed
A distributed task scheduler for Dask
Language:Python0 0 00
ScalableCytometryImageProcessing/SCIP-use-case-workflows
Snakemake workflows for SCIP use cases.
Language:Jupyter Notebook0 1 01