Minerva Story is an image viewer that is designed specifically to make it easy for non-expert users to interact with complex tissue images.
-
Updated
May 8, 2024 - HTML
Minerva Story is an image viewer that is designed specifically to make it easy for non-expert users to interact with complex tissue images.
SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.
collection of mass spectrometry imaging workflows
The AstroPath Pipeline was developed to process whole slide multiplex immunofluorescence data from microscope to database at single cell resolution.
UniFORM: Towards Universal ImmunoFluorescence Normalization for Multiplex Tissue Imaging
This is the official repo for the Liver Kidney Stomach dataset introduced in the paper: SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification.
Minerva Author is an authoring tool used to create Minerva narrated stories via selection of specific channel groupings and image views.
Automated benchmarking and selection of clustering algorithms (KMeans, Agglomerative, Spectral, GMM, DBSCAN) for spatial/multiplex immunofluorescence data, using Hopkins statistic, PCA, multi-metric evaluation (Silhouette, Davies-Bouldin, Calinski-Harabasz, ARI stability) and automatic best-method selection.
A Comprehensive Workflow for image preprocessing.
Python interface to detect and quantify intranuclear proteins
A package for processing immunofluorescence (IF) microscopy image data.
Minerva Cloud is a novel cloud-native (AWS) platform for high-dimensional microscopy image storage, management, and visualization.
Minerva Cloud is a novel cloud-based (AWS) software for high-dimensional image management, storage and visualization.
IHC scoring of multi-channel images
Quality control pipeline for MACSima / MACSiQView cell segmentation
Python-based pipeline for segmentation quality control and unsupervised clustering of immunofluorescence spatial-omics data.
A Python library for segmentation and classification of objects in microscopy images
AMMIT is an R package designed to streamline the processing of immunofluorescence data.
Code for the paper: Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation
A multi resolution volume renderer, specifically for analysing biomarker interactions in 3D CyCIF.
Add a description, image, and links to the immunofluorescence topic page so that developers can more easily learn about it.
To associate your repository with the immunofluorescence topic, visit your repo's landing page and select "manage topics."