ome-tiff
Here are 16 public repositories matching this topic...
A benchmark to compare data retrieval performance for OME-TIFF and Zarr using different tile sizes and HTTP protocol versions.
-
Updated
Dec 4, 2020 - JavaScript
HistoJS: Web-Based Analytical Tool for Multiplexed Images. Limited Github Online Demo 👇
-
Updated
Feb 29, 2024 - JavaScript
pipeline that converts Deepcell generated instance segmentation masks of nuclei from an ome-tiff to Cell Objects with auto-generated cytoplasms in QuPath
-
Updated
Mar 1, 2024 - Jupyter Notebook
Feature based image registration for immunofluorescence images
-
Updated
May 28, 2021 - Python
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.
-
Updated
Apr 23, 2024 - Python
Supplementary information associated with Besson et al. (2019) ECDP 2019
-
Updated
Jan 7, 2021 - Python
SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.
-
Updated
Jul 11, 2023 - R
I/O operations for OME-TIFF files in Julia
-
Updated
May 20, 2024 - Julia
An end-to-end processing pipeline that transforms multi-channel whole-slide images into single-cell data.
-
Updated
May 9, 2024 - Nextflow
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
-
Updated
Jun 26, 2019 - C++
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
-
Updated
May 13, 2024 - JavaScript
Read and write TIFF files
-
Updated
May 23, 2024 - Python
Improve this page
Add a description, image, and links to the ome-tiff topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ome-tiff topic, visit your repo's landing page and select "manage topics."