CellProfiler

CARE (Content-Aware Image Restoration) is a deep learning framework for fluorescence microscopy image enhancement using convolutional neural networks. Restores noisy, low-SNR microscopy images through

2 shared topics • 1 shared operation

Cellpose — generalist deep learning algorithm for cellular and nuclear segmentation in microscopy images. Provides GPU-accelerated 2D and 3D instance segmentation using gradient flow representations,

2 shared topics • 1 shared operation

DeepCell — deep learning library for single-cell analysis of biological images using TensorFlow. Provides pretrained models for cell segmentation including Mesmer (multiplexed tissue imaging), nuclear

2 shared topics • 1 shared operation

QuPath — open-source platform for whole slide image analysis and digital pathology. Provides interactive tools for tissue detection via thresholding, cell detection and positive cell classification (H

2 shared topics • 1 shared operation

ZeroCostDL4Mic is a Google Colab-based platform providing zero-cost deep learning for fluorescence microscopy image analysis. Supports segmentation (U-Net, StarDist, Cellpose), denoising (Noise2Void,

2 shared topics • 1 shared operation