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Recategorised htsimaging
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rraadd88 committed Apr 16, 2024
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- [OpenCV](https://github.com/opencv/opencv) - Open source computer vision and machine learning software library.
- [PYME](https://github.com/python-microscopy/python-microscopy) - Open-source application suite for light microscopy acquisition, data storage, visualization, and analysis.
- [Scikit-image](https://github.com/scikit-image/scikit-image) - Collection of algorithms for image processing.
- [htsimaging](https://github.com/rraadd88/htsimaging) - Python package for high-throughput single-cell imaging analysis (Python).


## Image processing and segmentation
- [Ark-Analysis](https://github.com/angelolab/ark-analysis) - A pipeline toolbox for analyzing multiplexed imaging data.
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## Yeast imaging
- [BABY](https://git.ecdf.ed.ac.uk/swain-lab/baby/) - An image processing pipeline for accurate single-cell growth estimation of
budding cells from bright-field stacks.
- [htsimaging](https://github.com/rraadd88/htsimaging) - Python package for high-throughput single-cell imaging analysis.
- [YeastMate](https://yeastmate.readthedocs.io/en/latest/) - Neural network-assisted segmentation of mating and budding events in S. cerevisiae.
- [YeaZ](https://github.com/lpbsscientist/YeaZ-GUI) - An interactive tool for segmenting yeast cells using deep learning.



## Other
- [AICSImageIO](https://github.com/AllenCellModeling/aicsimageio) - Image reading, metadata conversion, and image writing for nicroscopy images in Python.
- [Biobeam](https://maweigert.github.io/biobeam) - Open source software package that is designed to provide fast methods for in-silico optical experiments with an emphasize on image formation in biological tissues.
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