Python package for image-based profiling
- cytominer
- microscopy
- morphological-profiling
- python
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Python package for image-based profiling
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Inner ear models for Python
Learning cell communication from spatial graphs of cells
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
MicroPython driver for the HX711 load cell interface.
Autonomous multi-agent framework to optimize scientific software
MCP server for spatial transcriptomics analysis through natural language interfaces.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
Multigrate: multiomic data integration for single-cell genomics
3D shape analysis using deep learning
A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
An interactive tool for segmenting yeast cells using deep learning.
Single-cell fluorescence microscopy data analysis
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
A small async DNS client for MicroPython
scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection
A python package to analyze the matrix fiber orientation and intensity around cells in fiber matrices (as a proxy for cellular forces).
🔬Python package for high-throughput single-cell imaging analysis.
Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning
MicroPython driver for the CS1237 Load Cell Interface/ADC