VST: A Python-based deep learning tool for segmenting electron microscopy samples

Python Submitted 03 December 2025 • Published 17 June 2026
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Editor: @rich2355 (all papers)
Reviewers: @ductho-le (all reviews), @ClementCaporal (all reviews)

Authors

Yuyao (Daniel) Huang (0009-0007-7171-5029), Nickhil Jadav (0009-0009-2754-1097), Georgia Rutter (0009-0005-6609-0576), Mihnea Bostina (0000-0003-3621-3772), Duane Harland (0000-0002-1204-054X), Lech Szymanski (0000-0002-5192-0304)

Citation

Huang et al., (2026). VST: A Python-based deep learning tool for segmenting electron microscopy samples. Journal of Open Source Software, 11(122), 10084, https://doi.org/10.21105/joss.10084

@article{Huang2026, doi = {10.21105/joss.10084}, url = {https://doi.org/10.21105/joss.10084}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {122}, pages = {10084}, author = {Huang, Yuyao (Daniel) and Jadav, Nickhil and Rutter, Georgia and Bostina, Mihnea and Harland, Duane and Szymanski, Lech}, title = {VST: A Python-based deep learning tool for segmenting electron microscopy samples}, journal = {Journal of Open Source Software} }
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Semantic segmentation Instance segmentation Machine learning Image analysis Microscopy image Three-dimensional image

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