DECODE
Localization Microscopy Tool
An implementation of a deep learning-based tool for single-molecule localization microscopy with high accuracy and speed.
This is the official implementation of our publication "Deep learning enables fast and dense single-molecule localization with high accuracy" (Nature Methods)
96 stars
7 watching
26 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
deep-learninggpuhigh-densitylocalization-microscopymicroscopypytorchsmlm
hallvaaw/awesome-biological-image-analysisRelated projects:
| Repository | Description | Stars |
|---|---|---|
 pycroscopy/atomai | A PyTorch-based package for analyzing microscopy data with machine learning algorithms | 197 |
 open-mmlab/mmengine | Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,196 |
 ayoolaolafenwa/pixellib | A deep learning library for image segmentation and object detection using PyTorch. | 1,054 |
 henriqueslab/zerocostdl4mic | A toolkit for using deep learning in microscopy without requiring extensive coding expertise | 568 |
 georgeoshardo/symbac | Generates high-quality synthetic images of bacterial cells to aid machine learning-based image segmentation algorithms. | 19 |
 zjulearning/graph_level_drug_discovery | A Python project that uses machine learning to improve the representation of molecules in drug discovery | 60 |
 brainglobe/cellfinder | Automated 3D cell detection tool for large images in microscopy and neuroscience research | 181 |
 bmirds/deepslide | Classifies high-resolution microscopy images of lung adenocarcinoma using deep neural networks with a sliding window framework. | 494 |
 nitishsrivastava/deepnet | A collection of GPU-accelerated deep learning algorithms implemented in Python | 895 |
 priyavrat-misra/xrays-and-gradcam | This project uses deep learning to analyze chest radiographs and diagnose COVID-19. | 50 |
 baguasys/bagua | A framework for accelerating PyTorch deep learning training | 876 |
 jries/smap | An analysis platform for super-resolution microscopy data | 66 |
 choderalab/openmmtools | A toolkit providing tools and methods for simulating molecular systems using the OpenMM engine | 255 |
 rentruewang/koila | A lightweight wrapper around PyTorch to prevent CUDA out-of-memory errors and optimize model execution | 1,823 |
 vanvalenlab/deepcell-tf | A deep learning library for analyzing biological images at the single-cell level | 431 |