YeaZ-GUI
Yeast cell segmentation tool
An interactive tool for segmenting yeast cells using deep learning-based image analysis
An interactive tool for segmenting yeast cells using deep learning.
27 stars
1 watching
14 forks
Language: Python
last commit: 12 months ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A tool for cell instance aware segmentation in densely packed 3D volumetric images | 101 |
| A toolset for analyzing multiplexed imaging data by applying various machine learning and image processing techniques to segment cells, cluster pixels, and perform spatial analysis. | 78 |
| Provides tools and methods for visualizing and analyzing single cell RNA-seq data in low dimensions | 35 |
| A software framework for cell segmentation in microscopy images with human-in-the-loop capabilities and image restoration | 1,415 |
| Tools for interactive microscopy image segmentation and tracking | 372 |
| An R-based framework to analyze cell-cell communication from single-cell RNA-Seq data by integrating multiple methods and resources | 184 |
| Analyzes 3D cell shape features using deep learning for cancer research | 21 |
| An open-source software package for probabilistic cell segmentation in spatial transcriptomics | 46 |
| A toolbox for unsupervised multilabel image segmentation using the Potts model. | 110 |
| An interactive software tool for analyzing single-cell omics data | 32 |
| An R package that facilitates analysis of single-cell RNA-seq data by identifying homogeneous groups of cells. | 110 |
| A tool for accurately annotating cell types in single-cell RNA sequencing data using deep learning | 100 |
| Algorithmic software for analyzing single-cell RNA sequencing data to reconstruct T cell receptor sequences. | 14 |
| An object-oriented Python library for analyzing single-cell RNA-seq data using topological representations | 7 |
| An interactive R/Shiny app for analyzing cell-cell communication from single-cell transcriptomics data | 9 |