Read and write TIFF files

Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.

SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.

I/O operations for OME-TIFF files in Julia

Tools to handle IMC data

A nextflow based tool that wraps bfconvert and bioformats2raw to convert image data collections to OME-TIFF and OME-Zarr, respectively, in a parallelised manner.

HistoJS: Web-Based Analytical Tool for Multiplexed Images. Limited Github Online Demo 👇

An end-to-end processing pipeline that transforms multi-channel whole-slide images into single-cell data.

Advanced methods in bioimage analysis

OME Files is a C++ library for reading and writing data using the open and standard OME-TIFF file format using the OME data model

Feature based image registration for immunofluorescence images

Supplementary information associated with Besson et al. (2019) ECDP 2019

C# helper class for serializing image metadata into Open Microscopy's OME-XML Tiff format.

pipeline that converts Deepcell generated instance segmentation masks of nuclei from an ome-tiff to Cell Objects with auto-generated cytoplasms in QuPath

Python tool to parse Tomocube TCF files to OME-TIFF format

A benchmark to compare data retrieval performance for OME-TIFF and Zarr using different tile sizes and HTTP protocol versions.