Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
- biology
- fluorescence
- image-analysis
- image-processing
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Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
python functions for simulating optical transfer functions
Minerva Story is an image viewer that is designed specifically to make it easy for non-expert users to interact with complex tissue images.
Gaussian processes and Bayesian optimization for images and hyperspectral data
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Fiji/ImageJ macros to quickly add a scale bar to an (electron microscopy) image.
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#ZVQ - Zebrafish Vascular Quantification - https://doi.org/10.1242/dev.199720
[DEPRECATED] A package for storing morphological profiling data.
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.
🔬Python package for high-throughput single-cell imaging analysis.
Panoptic segmentation algorithms for 2D and 3D electron microscopy images
Python library for statistical analysis of mRNA and protein distributions in fluorescent microscopy images